Introduction
Human learning optimization with competitive and cooperative learning
Random learning operator
Individual learning operator
Competitive and cooperative learning operator
Social learning operator
Implementation of HLOCC
Parameter study of HLOCC
Analysis of the control parameters
Parameters | Level 1 | Level 2 | Level 3 | Level 4 | Level 5 | Level 6 | Level 7 | Level 8 | Level 9 |
---|---|---|---|---|---|---|---|---|---|
pil | 0.78 | 0.80 | 0.82 | 0.84 | 0.85 | 0.86 | 0.88 | 0.90 | 0.92 |
pcc | 0.86 | 0.88 | 0.90 | 0.92 | 0.94 | 0.95 | 0.96 | 0.97 | 0.98 |
No | Functions name | Dimension | Type |
---|---|---|---|
F1 | Shifted and Rotated Bent Cigar Function | 10/30 | Unimodal |
F2 | Shifted and Rotated Sum of Different Power Function* | 10/30 | Unimodal |
F3 | Shifted and Rotated Zakharov Function | 10/30 | Unimodal |
F4 | Shifted and Rotated Rosenbrock’s Function | 10/30 | Multimodal |
F5 | Shifted and Rotated Rastrigin’s Function | 10/30 | Multimodal |
F6 | Shifted and Rotated Expanded Scaffer’s F6 Function | 10/30 | Multimodal |
F7 | Shifted and Rotated Lunacek Bi_Rastrigin Function | 10/30 | Multimodal |
F8 | Shifted and Rotated Non-Continuous Rastrigin’s Function | 10/30 | Multimodal |
F9 | Shifted and Rotated Levy Function | 10/30 | Multimodal |
F10 | Shifted and Rotated Schwefel’s Function | 10/30 | Hybrid |
F11 | Hybrid Function 1 (N = 3) | 10/30 | Hybrid |
F12 | Hybrid Function 2 (N = 3) | 10/30 | Hybrid |
F13 | Hybrid Function 3 (N = 3) | 10/30 | Hybrid |
F14 | Hybrid Function 4 (N = 4) | 10/30 | Hybrid |
F15 | Hybrid Function 5 (N = 4) | 10/30 | Hybrid |
F16 | Hybrid Function 6 (N = 4) | 10/30 | Hybrid |
F17 | Hybrid Function 6 (N = 5) | 10/30 | Hybrid |
F18 | Hybrid Function 6 (N = 5) | 10/30 | Hybrid |
F19 | Hybrid Function 6 (N = 5) | 10/30 | Hybrid |
F20 | Hybrid Function 6 (N = 6) | 10/30 | Hybrid |
F21 | Composition Function 1 (N = 3) | 10/30 | Composition |
F22 | Composition Function 2 (N = 3) | 10/30 | Composition |
F23 | Composition Function 3 (N = 4) | 10/30 | Composition |
F24 | Composition Function 4 (N = 4) | 10/30 | Composition |
F25 | Composition Function 5 (N = 5) | 10/30 | Composition |
F26 | Composition Function 6 (N = 5) | 10/30 | Composition |
F27 | Composition Function 7 (N = 6) | 10/30 | Composition |
F28 | Composition Function 8 (N = 6) | 10/30 | Composition |
F29 | Composition Function 9 (N = 3) | 10/30 | Composition |
F30 | Composition Function 10 (N = 3) | 10/30 | Composition |
Trial | Control parameters | 10D | 30D | |||
---|---|---|---|---|---|---|
pil | pcc | F2 | F8 | F2 | F8 | |
1 | 0.78 | 0.86 | 2.3777E+04 | 6.1295E+00 | 5.4092E+23 | 5.6937E+01 |
2 | 0.78 | 0.88 | 1.5327E+04 | 5.9708E+00 | 2.0624E+23 | 5.7251E+01 |
3 | 0.78 | 0.9 | 1.2920E+04 | 5.5128E+00 | 1.3943E+24 | 5.6559E+01 |
4 | 0.78 | 0.92 | 6.2632E+03 | 5.4607E+00 | 3.8775E+23 | 5.3871E+01 |
5 | 0.78 | 0.94 | 7.6339E+03 | 5.5638E+00 | 1.1249E+24 | 5.3309E+01 |
6 | 0.78 | 0.95 | 1.5081E+04 | 5.4543E+00 | 7.9663E+23 | 5.3156E+01 |
7 | 0.78 | 0.96 | 1.1818E+04 | 5.9929E+00 | 3.9145E+23 | 5.2325E+01 |
8 | 0.78 | 0.97 | 1.0121E+04 | 5.0377E+00 | 4.0286E+25 | 5.2760E+01 |
9 | 0.78 | 0.98 | 1.4714E+04 | 5.0197E+00 | 3.9749E+23 | 5.0588E+01 |
10 | 0.8 | 0.86 | 1.6917E+04 | 5.1196E+00 | 2.3586E+21 | 5.6605E+01 |
11 | 0.8 | 0.88 | 7.4589E+03 | 5.4198E+00 | 5.7039E+23 | 5.5579E+01 |
12 | 0.8 | 0.9 | 2.2926E+04 | 5.2951E+00 | 1.1777E+25 | 5.4237E+01 |
13 | 0.8 | 0.92 | 5.7283E+03 | 4.8739E+00 | 3.2412E+21 | 5.4316E+01 |
14 | 0.8 | 0.94 | 5.7956E+03 | 5.0407E+00 | 1.1563E+26 | 5.1871E+01 |
15 | 0.8 | 0.95 | 7.1984E+03 | 5.1121E+00 | 8.8180E+22 | 5.0184E+01 |
16 | 0.8 | 0.96 | 6.2101E+03 | 4.8831E+00 | 1.0897E+23 | 5.2040E+01 |
17 | 0.8 | 0.97 | 5.9829E+03 | 4.5425E + 00 | 2.1415E+20 | 4.9660E+01 |
18 | 0.8 | 0.98 | 5.7072E+03 | 4.8278E+00 | 1.0994E+21 | 5.2708E+01 |
19 | 0.82 | 0.86 | 1.1540E+04 | 5.2510E+00 | 7.7605E+23 | 5.3871E+01 |
20 | 0.82 | 0.88 | 6.6795E+03 | 5.2882E+00 | 4.3144E+23 | 5.3256E+01 |
21 | 0.82 | 0.9 | 4.1799E+03 | 5.2323E+00 | 1.2241E+20 | 5.3572E+01 |
22 | 0.82 | 0.92 | 1.1346E+04 | 4.9715E+00 | 2.4923E+20 | 5.1154E+01 |
23 | 0.82 | 0.94 | 3.9503E+03 | 4.7433E+00 | 4.7108E+23 | 4.9959E+01 |
24 | 0.82 | 0.95 | 1.0959E+04 | 4.6530E+00 | 7.1150E+23 | 5.0243E+01 |
25 | 0.82 | 0.96 | 5.3340E+03 | 4.5045E + 00 | 1.8348E+23 | 4.9711E+01 |
26 | 0.82 | 0.97 | 1.4104E+04 | 4.8135E+00 | 7.1646E+21 | 4.8401E+01 |
27 | 0.82 | 0.98 | 4.6305E+03 | 4.8627E+00 | 5.9964E+24 | 4.8403E+01 |
28 | 0.84 | 0.86 | 6.1571E+03 | 5.1232E+00 | 2.4385E+23 | 5.2521E+01 |
29 | 0.84 | 0.88 | 5.1682E+03 | 4.9936E+00 | 2.7350E+20 | 4.9597E+01 |
30 | 0.84 | 0.9 | 3.4345E+03 | 4.9685E+00 | 3.6889E+20 | 4.9380E+01 |
31 | 0.84 | 0.92 | 2.5275E + 03 | 4.8094E+00 | 3.0449E+22 | 4.5369E+01 |
32 | 0.84 | 0.94 | 1.0497E+04 | 4.5740E+00 | 2.9380E+21 | 4.6986E+01 |
33 | 0.84 | 0.95 | 9.5765E+03 | 4.4749E + 00 | 2.5752E+21 | 4.6832E+01 |
34 | 0.84 | 0.96 | 3.0574E+03 | 5.0274E+00 | 9.4090E+20 | 4.5887E+01 |
35 | 0.84 | 0.97 | 4.5485E+03 | 4.5677E+00 | 1.2878E+20 | 4.5740E+01 |
36 | 0.84 | 0.98 | 4.0280E+03 | 4.7527E+00 | 2.1422E+22 | 4.6419E+01 |
37 | 0.85 | 0.86 | 3.4864E+03 | 4.9497E+00 | 9.2322E+19 | 4.8590E+01 |
38 | 0.85 | 0.88 | 4.2045E+03 | 5.1278E+00 | 1.2128E+20 | 4.7708E+01 |
39 | 0.85 | 0.9 | 4.6619E+03 | 4.8573E+00 | 3.7606E+20 | 4.9075E+01 |
40 | 0.85 | 0.92 | 3.7967E+03 | 4.8304E+00 | 2.5547E+23 | 4.6266E+01 |
41 | 0.85 | 0.94 | 5.0926E+03 | 4.5409E + 00 | 1.1237E+21 | 4.5090E+01 |
42 | 0.85 | 0.95 | 5.0857E+03 | 4.8582E+00 | 6.5797E+19 | 4.4351E+01 |
43 | 0.85 | 0.96 | 4.3945E+03 | 4.6035E+00 | 9.5452E+19 | 4.5458E+01 |
44 | 0.85 | 0.97 | 7.1224E+03 | 4.4434E + 00 | 6.5851E+23 | 4.3924E+01 |
45 | 0.85 | 0.98 | 3.2221E+03 | 4.9075E+00 | 1.2662E+21 | 4.5174E+01 |
46 | 0.86 | 0.88 | 2.0689E + 03 | 4.9389E+00 | 3.3284E+23 | 4.8394E+01 |
47 | 0.86 | 0.9 | 5.0448E+03 | 4.8795E+00 | 2.9308E+23 | 4.8738E+01 |
48 | 0.86 | 0.92 | 4.5630E+03 | 4.5478E + 00 | 8.8180E+20 | 4.3033E+01 |
9 | 0.86 | 0.94 | 2.4602E + 03 | 4.7066E+00 | 4.1938E+19 | 4.2546E+01 |
50 | 0.86 | 0.95 | 2.6397E + 03 | 4.7360E+00 | 1.9167E+19 | 4.3187E+01 |
51 | 0.86 | 0.96 | 3.5358E+03 | 4.9523E+00 | 4.7748E+19 | 4.2360E+01 |
52 | 0.86 | 0.97 | 3.5645E+03 | 4.5747E+00 | 6.5590E+20 | 4.3215E+01 |
53 | 0.86 | 0.98 | 4.4802E+03 | 4.7760E+00 | 2.9377E+20 | 4.2125E+01 |
54 | 0.88 | 0.9 | 3.4619E+03 | 5.1647E+00 | 8.8911E + 18 | 4.4937E+01 |
55 | 0.88 | 0.92 | 3.2439E+03 | 5.2205E+00 | 1.4678E+20 | 4.1916E+01 |
56 | 0.88 | 0.94 | 2.2024E + 03 | 5.2353E+00 | 1.6300E+21 | 4.2110E+01 |
57 | 0.88 | 0.95 | 3.4081E+03 | 4.9434E+00 | 3.1894E + 18 | 4.0213E + 01 |
58 | 0.88 | 0.96 | 2.4769E + 03 | 4.5204E + 00 | 2.7517E + 18 | 3.9091E + 01 |
59 | 0.88 | 0.97 | 4.5287E+03 | 5.2933E+00 | 1.8283E+19 | 4.0690E + 01 |
60 | 0.88 | 0.98 | 3.5749E+03 | 5.4362E+00 | 2.6632E+23 | 4.2525E+01 |
61 | 0.9 | 0.92 | 3.1359E+03 | 4.9173E+00 | 6.1387E + 18 | 4.1575E+01 |
62 | 0.9 | 0.94 | 3.2561E+03 | 5.2229E+00 | 7.4474E + 18 | 4.2368E+01 |
63 | 0.9 | 0.95 | 4.1085E+03 | 5.4391E+00 | 1.6853E + 18 | 4.1440E + 01 |
64 | 0.9 | 0.96 | 3.1952E+03 | 5.6270E+00 | 5.7524E + 18 | 4.1489E + 01 |
65 | 0.9 | 0.97 | 4.1790E+03 | 6.0439E+00 | 1.1613E+22 | 4.1383E + 01 |
66 | 0.9 | 0.98 | 2.9117E + 03 | 5.7819E+00 | 2.3379E+21 | 4.0964E + 01 |
67 | 0.92 | 0.94 | 3.8204E+03 | 5.6979E+00 | 3.7517E+20 | 4.2315E+01 |
68 | 0.92 | 0.95 | 3.8431E+03 | 5.7624E+00 | 1.2446E+19 | 4.3853E+01 |
69 | 0.92 | 0.96 | 4.2201E+03 | 6.5464E+00 | 2.6013E+19 | 4.4555E+01 |
70 | 0.92 | 0.97 | 7.5465E+03 | 6.5095E+00 | 2.0971E+21 | 4.4816E+01 |
71 | 0.92 | 0.98 | 3.9470E+03 | 7.0481E+00 | 1.8605E+21 | 4.2958E+01 |
Role of competitive and cooperative learning
Experimental results and discussions
Algorithms | Parameters |
---|---|
HLOCC | \({\text{pr}} = 5/M,{\text{pi = }}0.85 + 2/M,{\text{pil}} = 0.83,{\text{pcc}} = 0.89\) |
SHLO | \({\text{pr}} = 5/M,{\text{pi}} = 0.85 + 2/M\) |
DHLO | \({\text{pr}} = 5/M,{\text{pi}} = 0.85,3\sigma = 0.02,{\text{DG}} = 1000\) |
TVMSBPSO | \(c_{1} = c_{2} = 2,\omega = 1,\sigma_{\min } = 0.1,\sigma_{\max } = 1,v_{\max } = 10\) |
BWOA | \(a_{\max } = 2,a_{\min } = 0,b = 1\) |
BinCSA | \({\text{AP = 0}}{.1}\) |
QBPSO | \(c_{1} = c_{2} = 2,\omega_{\min } = 0.4,\omega_{\max } = 0.9,v_{\max } = 6\) |
IBDE | \(\delta = 0.05,\alpha = 1.0,p_{{{\text{sm}}}} = 0.008,b = 0.5\) |
pBGSP | \({\text{NP}}_{{{\text{min}}}} = 12,p = 0.1,k_{{\text{R}}} = 0.95\) |
CEC17 benchmark functions
Low-dimensional functions
Function | Metric | HLOCC | HLO | DHLO | TVMSBPSO | BWOA | BinCSA | QBPSO | IBDE | pBGSK |
---|---|---|---|---|---|---|---|---|---|---|
F1 | Best | 3.9672E+02 | 1.1185E+03 | 1.4039E+03 | 1.5800E+04 | 1.8163E+08 | 1.1529E+06 | 8.1335E+06 | 9.4438E+06 | 3.8421E+05 |
Mean | 1.5573E+06 | 1.8122E+07\(\tfrac{+}{+}\) | 3.1500E+06\(\tfrac{\S}{+}\) | 1.5756E+07\(\tfrac{+}{+}\) | 6.7280E+08\(\tfrac{+}{+}\) | 5.2362E+07\(\tfrac{+}{+}\) | 3.7589E+08\(\tfrac{+}{+}\) | 2.6254E+08\(\tfrac{+}{+}\) | 1.4519E+08\(\tfrac{+}{+}\) | |
Std | 4.5033E+06 | 3.9666E+07 | 7.3689E+06 | 2.0633E+07 | 2.1573E+08 | 6.1189E+07 | 4.8365E+08 | 2.8098E+08 | 2.4326E+08 | |
F2 | Best | 2.4059E-02 | 5.1082E-02 | 3.0183E-02 | 4.3138E-01 | 4.8817E+05 | 1.6542E+02 | 6.7318E+03 | 2.8540E+03 | 6.5480E+05 |
Mean | 3.8860E+03 | 4.1086E+04\(\tfrac{+}{+}\) | 5.4544E+03\(\tfrac{\S }{\S }\) | 7.5725E+04\(\tfrac{+}{+}\) | 2.7875E+07 \(\tfrac{+}{+}\) | 2.5003E+06\(\tfrac{+}{+}\) | 7.1572E+07\(\tfrac{+}{+}\) | 2.8677E+07\(\tfrac{+}{+}\) | 1.6593E+08\(\tfrac{+}{+}\) | |
Std | 8.8480E+03 | 1.1975E+05 | 1.5175E+04 | 1.4165E+05 | 4.2059E+07 | 8.9638E+06 | 3.0218E+08 | 7.4637E+07 | 2.5977E+08 | |
F3 | Best | 3.7843E+01 | 1.7707E+01 | 2.0331E+01 | 1.4793E+00 | 1.9321E+03 | 3.3214E+01 | 4.8992E+01 | 7.6638E+03 | 1.7525E+03 |
Mean | 4.3453E+02 | 3.9598E+02\(\tfrac{\S }{\S }\) | 4.0077E+02\(\tfrac{\S }{\S }\) | 2.4622E+02\(\tfrac{\# }{\# }\) | 4.8438E+03\(\tfrac{+}{+}\) | 4.4934E+02\(\tfrac{\S }{\S }\) | 1.1063E+03\(\tfrac{+}{+}\) | 2.0271E+04\(\tfrac{+}{+}\) | 8.2131E+03\(\tfrac{+}{+}\) | |
Std | 2.8067E+02 | 3.3721E+02 | 3.8592E+02 | 1.8275E+02 | 1.4821E+03 | 3.2854E+02 | 9.4519E+02 | 6.1687E+03 | 2.4776E+03 | |
F4 | Best | 1.1364E+00 | 1.8248E+00 | 3.8540E-01 | 2.2196E+00 | 2.2373E+01 | 4.5345E+00 | 3.2782E+00 | 3.1736E+00 | 6.5921E+00 |
Mean | 6.0044E+00 | 8.5594E+00\(\tfrac{+}{+}\) | 6.0946E+00\(\tfrac{\S }{\S }\) | 1.1942E+01\(\tfrac{+}{+}\) | 5.8261E+01\(\tfrac{+}{+}\) | 1.6275E+01 \(\tfrac{+}{+}\) | 4.5131E+01\(\tfrac{+}{+}\) | 2.8878E+01 \(\tfrac{+}{+}\) | 2.5264E+01 \(\tfrac{+}{+}\) | |
Std | 1.3541E+00 | 6.0344E+00 | 2.4017E+00 | 1.3989E+01 | 1.8600E+01 | 1.3155E+01 | 3.3269E+01 | 1.9121E+01 | 1.9294E+01 | |
F5 | Best | 1.1086E+00 | 2.0942E+00 | 1.0333E+00 | 2.2481E+00 | 3.3241E+01 | 1.9749E+00 | 9.0330E+00 | 9.6989E+00 | 1.3437E+01 |
Mean | 4.3206E+00 | 6.5649E+00 \(\tfrac{+}{+}\) | 4.2780E+00\(\tfrac{\S }{\S }\) | 9.9085E+00\(\tfrac{+}{+}\) | 4.7355E+01\(\tfrac{+}{+}\) | 9.1578E+00 \(\tfrac{+}{+}\) | 2.2470E+01\(\tfrac{+}{+}\) | 2.4559E+01\(\tfrac{+}{+}\) | 3.1230E+01 \(\tfrac{+}{+}\) | |
Std | 1.6065E+00 | 2.5640E+00 | 1.5876E+00 | 2.9921E+00 | 6.4174E+00 | 3.4449E+00 | 7.6702E+00 | 7.3521E+00 | 5.2156E+00 | |
F6 | Best | 2.5986E-03 | 1.3556E-02 | 3.2883E-03 | 6.8202E-02 | 1.0372E+01 | 2.3316E-01 | 1.5826E+00 | 4.0999E-01 | 1.4843E+00 |
Mean | 1.4104E-01 | 4.6589E-01 \(\tfrac{+}{+}\) | 1.8209E-01\(\tfrac{+}{+}\) | 7.9102E-01 \(\tfrac{+}{+}\) | 1.9111E+01\(\tfrac{+}{+}\) | 1.5868E+00 \(\tfrac{+}{+}\) | 7.8847E+00 \(\tfrac{+}{+}\) | 5.7292E+00\(\tfrac{+}{+}\) | 6.9777E+00\(\tfrac{+}{+}\) | |
Std | 1.3033E-01 | 3.6381E-01 | 1.6867E-01 | 5.3025E-01 | 3.0105E+00 | 1.0423E+00 | 4.2416E+00 | 3.0752E+00 | 2.9682E+00 | |
F7 | Best | 3.3915E+00 | 9.0763E+00 | 6.7547E+00 | 7.4357E+00 | 7.1759E+01 | 1.6810E+01 | 2.5079E+01 | 3.0055E+01 | 2.8581E+01 |
Mean | 1.5239E+01 | 2.3346E+01\(\tfrac{+}{+}\) | 1.6272E+01\(\tfrac{ + }{\S }\) | 2.3782E+01\(\tfrac{+}{+}\) | 1.0873E+02\(\tfrac{+}{+}\) | 2.6107E+01 \(\tfrac{+}{+}\) | 5.9188E+01\(\tfrac{+}{+}\) | 5.7853E+01\(\tfrac{+}{+}\) | 5.9213E+01\(\tfrac{+}{+}\) | |
Std | 3.5235E+00 | 5.9976E+00 | 3.2863E+00 | 5.9632E+00 | 1.4127E+01 | 6.3494E+00 | 1.8577E+01 | 1.6654E+01 | 1.6261E+01 | |
F8 | Best | 1.2950E+00 | 3.0934E+00 | 1.1054E+00 | 2.9883E+00 | 3.7297E+01 | 3.4560E+00 | 1.0433E+01 | 1.1007E+01 | 1.7887E+01 |
Mean | 5.0282E+00 | 7.7604E+00\(\tfrac{+}{+}\) | 4.9432E+00\(\tfrac{\S }{\S }\) | 1.1233E+01\(\tfrac{+}{+}\) | 4.8939E+01\(\tfrac{+}{+}\) | 1.0502E+01 \(\tfrac{+}{+}\) | 2.4267E+01\(\tfrac{+}{+}\) | 2.8570E+01\(\tfrac{+}{+}\) | 3.4650E+01 \(\tfrac{+}{+}\) | |
Std | 1.6951E+00 | 2.8702E+00 | 1.7576E+00 | 4.4689E+00 | 5.3384E+00 | 3.7110E+00 | 8.0971E+00 | 8.1827E+00 | 5.3982E+00 | |
F9 | Best | 3.4677E-04 | 4.3841E-04 | 6.1442E-04 | 9.6201E-02 | 7.2478E+01 | 5.4455E-01 | 1.4499E+00 | 7.3752E+00 | 5.8870E+01 |
Mean | 5.5023E-01 | 2.9059E+00\(\tfrac{+}{+}\) | 9.6975E-01 \(\tfrac{+}{+}\) | 8.7495E+00\(\tfrac{+}{+}\) | 3.2367E+02\(\tfrac{+}{+}\) | 1.8115E+01 \(\tfrac{+}{+}\) | 9.6740E+01\(\tfrac{+}{+}\) | 2.5156E+02\(\tfrac{+}{+}\) | 2.6705E+02\(\tfrac{+}{+}\) | |
Std | 6.4304E-01 | 3.9576E+00 | 1.4049E+00 | 1.3574E+01 | 1.1316E+02 | 1.8961E+01 | 7.2242E+01 | 1.4452E+02 | 1.3878E+02 | |
F10 | Best | 3.9253E+00 | 4.7438E-01 | 1.1331E+00 | 2.7613E+00 | 4.7239E+02 | 3.0145E+01 | 1.6894E+02 | 3.0987E+02 | 9.0619E+02 |
Mean | 9.6219E+01 | 1.7299E+02\(\tfrac{+}{+}\) | 8.0245E+01\(\tfrac{\S }{\S }\) | 3.1137E+02 \(\tfrac{+}{+}\) | 1.3093E+03 \(\tfrac{+}{+}\) | 2.7157E+02\(\tfrac{+}{+}\) | 5.4479E+02 \(\tfrac{+}{+}\) | 6.9207E+02\(\tfrac{+}{+}\) | 1.3212E+03\(\tfrac{+}{+}\) | |
Std | 7.9156E+01 | 1.1171E+02 | 7.3578E+01 | 1.7372E+02 | 1.4543E+02 | 1.4128E+02 | 1.9005E+02 | 1.7971E+02 | 1.4971E+02 | |
F11 | Best | 1.3967E+00 | 1.8705E+00 | 1.1047E+00 | 2.0775E+00 | 3.8772E+01 | 4.5333E+00 | 9.2682E+00 | 1.1494E+01 | 1.3880E+01 |
Mean | 7.1194E+00 | 1.7793E+01 \(\tfrac{+}{+}\) | 7.5389E+00\(\tfrac{\S }{\S }\) | 1.4798E+01\(\tfrac{+}{+}\) | 9.1689E+01 \(\tfrac{+}{+}\) | 3.6530E+01\(\tfrac{+}{+}\) | 7.1723E+01 \(\tfrac{+}{+}\) | 2.1952E+02\(\tfrac{+}{+}\) | 1.5434E+02 \(\tfrac{+}{+}\) | |
Std | 2.9651E+00 | 3.6872E+01 | 3.5693E+00 | 3.1365E+01 | 2.6215E+01 | 6.0198E+01 | 7.9185E+01 | 2.6772E+02 | 1.0153E+02 | |
F12 | Best | 3.8624E+02 | 6.7622E+02 | 3.0865E+02 | 4.8523E+02 | 6.6433E+05 | 7.9812E+03 | 2.6087E+03 | 1.9283E+04 | 1.2633E+05 |
Mean | 2.8514E+04 | 7.4392E+04\(\tfrac{+}{+}\) | 3.3046E+04\(\tfrac{\S }{\S }\) | 3.1180E+05 \(\tfrac{+}{+}\) | 1.5716E+07\(\tfrac{+}{+}\) | 9.3921E+05 \(\tfrac{+}{+}\) | 4.8333E+06 \(\tfrac{+}{+}\) | 2.7632E+06 \(\tfrac{+}{+}\) | 3.8309E+06\(\tfrac{+}{+}\) | |
Std | 4.5836E+04 | 1.6101E+05 | 4.9869E+04 | 1.1233E+06 | 7.7613E+06 | 1.1863E+06 | 6.7244E+06 | 3.4858E+06 | 4.0695E+06 | |
F13 | Best | 8.8593E+00 | 9.4645E+00 | 2.2900E+00 | 1.3599E+01 | 1.7078E+03 | 2.9461E+01 | 3.2823E+01 | 2.8191E+01 | 8.8231E+01 |
Mean | 1.0049E+02 | 2.0402E+03 \(\tfrac{+}{+}\) | 9.0860E+02\(\tfrac{+}{+}\) | 5.7054E+03\(\tfrac{+}{+}\) | 1.5657E+04 \(\tfrac{+}{+}\) | 4.2973E+03\(\tfrac{+}{+}\) | 4.2586E+04 \(\tfrac{+}{+}\) | 2.5735E+04\(\tfrac{+}{+}\) | 7.2305E+03\(\tfrac{+}{+}\) | |
Std | 1.5595E+02 | 3.8404E+03 | 2.4284E+03 | 7.0552E+03 | 1.0504E+04 | 6.6548E+03 | 2.0332E+05 | 5.5947E+04 | 1.6116E+04 | |
F14 | Best | 4.8058E+00 | 1.3242E+01 | 8.9170E-01 | 1.1033E+00 | 4.1441E+01 | 1.3980E+01 | 2.7933E+01 | 2.8740E+01 | 4.4885E+01 |
Mean | 2.1494E+01 | 1.7098E+02\(\tfrac{+}{+}\) | 2.0171E+01\(\tfrac{\S }{\S }\) | 1.8425E+02\(\tfrac{+}{+}\) | 1.0803E+02 \(\tfrac{+}{+}\) | 7.9184E+01\(\tfrac{+}{+}\) | 1.2155E+03 \(\tfrac{+}{+}\) | 6.1956E+02 \(\tfrac{+}{+}\) | 3.0280E+02 \(\tfrac{+}{+}\) | |
Std | 8.7574E+00 | 2.6508E+02 | 1.9297E+01 | 6.2897E+02 | 4.9533E+01 | 8.2413E+01 | 2.5317E+03 | 1.0353E+03 | 5.1104E+02 | |
F15 | Best | 1.7876E+00 | 3.0430E+00 | 1.6262E+00 | 2.7160E+00 | 7.5936E+01 | 5.5479E+00 | 1.8659E+01 | 1.2513E+01 | 3.7228E+01 |
Mean | 1.3209E+01 | 1.1074E+02 \(\tfrac{+}{+}\) | 1.9821E+01\(\tfrac{\S }{\S }\) | 3.0789E+02 \(\tfrac{+}{+}\) | 5.9918E+02 \(\tfrac{+}{+}\) | 2.5196E+02\(\tfrac{+}{+}\) | 1.5560E+03\(\tfrac{+}{+}\) | 7.6058E+02\(\tfrac{+}{+}\) | 3.7483E+03\(\tfrac{+}{+}\) | |
Std | 9.2175E+00 | 1.5296E+02 | 4.7642E+01 | 6.7616E+02 | 4.0108E+02 | 3.4646E+02 | 2.5840E+03 | 1.2681E+03 | 4.0834E+03 | |
F16 | Best | 3.9561E-01 | 4.7213E-01 | 1.8149E-01 | 2.3722E-01 | 2.0241E+01 | 1.3759E+00 | 1.1292E+00 | 2.5668E+00 | 1.9183E+01 |
Mean | 1.8418E+00 | 1.2286E+01\(\tfrac{+}{+}\) | 5.4264E+00\(\tfrac{\S }{ + }\) | 1.8257E+01\(\tfrac{+}{+}\) | 8.8546E+01 \(\tfrac{+}{+}\) | 1.7495E+01 \(\tfrac{+}{+}\) | 1.2375E+02\(\tfrac{+}{+}\) | 1.7899E+02\(\tfrac{+}{+}\) | 7.9488E+01 \(\tfrac{+}{+}\) | |
Std | 1.4627E+00 | 2.9792E+01 | 2.0853E+01 | 3.6553E+01 | 4.4749E+01 | 2.8471E+01 | 1.0616E+02 | 1.2358E+02 | 3.5497E+01 | |
F17 | Best | 2.0615E-01 | 1.4708E+00 | 9.0907E-01 | 1.5281E+00 | 3.4750E+01 | 3.8481E+00 | 8.4574E+00 | 1.2099E+01 | 3.0167E+01 |
Mean | 8.0934E+00 | 1.2891E+01\(\tfrac{+}{+}\) | 8.1532E+00\(\tfrac{\S }{\S }\) | 1.3922E+01\(\tfrac{+}{+}\) | 7.2522E+01 \(\tfrac{+}{+}\) | 2.4194E+01\(\tfrac{+}{+}\) | 4.6896E+01 \(\tfrac{+}{+}\) | 5.7974E+01\(\tfrac{+}{+}\) | 6.9330E+01\(\tfrac{+}{+}\) | |
Std | 5.6423E+00 | 1.0617E+01 | 5.4668E+00 | 8.9647E+00 | 1.2400E+01 | 9.5210E+00 | 3.3648E+01 | 3.5025E+01 | 1.6976E+01 | |
F18 | Best | 1.5283E+01 | 3.8892E+01 | 7.7127E+00 | 8.9297E+01 | 3.7904E+03 | 5.0291E+01 | 6.3505E+01 | 1.2237E+02 | 4.4828E+02 |
Mean | 2.8786E+02 | 1.6458E+03\(\tfrac{+}{+}\) | 3.0463E+02\(\tfrac{\S }{\S }\) | 6.5649E+03\(\tfrac{+}{+}\) | 5.4070E+04 \(\tfrac{+}{+}\) | 3.6889E+03\(\tfrac{+}{+}\) | 1.9893E+04\(\tfrac{+}{+}\) | 4.9571E+03\(\tfrac{+}{+}\) | 7.5212E+03\(\tfrac{+}{+}\) | |
Std | 4.7994E+02 | 1.7976E+03 | 5.1051E+02 | 7.3978E+03 | 4.0769E+04 | 3.8477E+03 | 3.7976E+04 | 3.6972E+03 | 6.8813E+03 | |
F19 | Best | 3.8896E-01 | 5.2188E-01 | 2.9051E-01 | 6.1929E-01 | 3.4847E+01 | 3.4139E+00 | 3.2588E+00 | 2.6405E+00 | 1.9409E+01 |
Mean | 6.3856E+00 | 6.3483E+01\(\tfrac{+}{+}\) | 1.1758E+01\(\tfrac{ +}{\S }\) | 1.3947E+02\(\tfrac{+}{+}\) | 4.3287E+02\(\tfrac{+}{+}\) | 3.1608E+02 \(\tfrac{+}{+}\) | 2.6616E+03\(\tfrac{+}{+}\) | 1.5841E+03\(\tfrac{+}{+}\) | 2.5690E+03 \(\tfrac{+}{+}\) | |
Std | 7.4916E+00 | 1.2116E+02 | 1.6030E+01 | 4.1396E+02 | 4.9290E+02 | 9.3970E+02 | 4.4240E+03 | 3.7376E+03 | 3.1472E+03 | |
F20 | Best | 3.8474E-02 | 4.6363E-01 | 4.4860E-04 | 2.4924E-01 | 4.0520E+01 | 3.0624E+00 | 7.8997E+00 | 2.2002E+00 | 1.7193E+01 |
Mean | 3.9022E+00 | 1.0095E+01\(\tfrac{+}{+}\) | 5.6611E+00\(\tfrac{ + }{\S }\) | 9.5106E+00\(\tfrac{+}{+}\) | 6.4204E+01 \(\tfrac{+}{+}\) | 2.0324E+01\(\tfrac{+}{+}\) | 4.1553E+01 \(\tfrac{+}{+}\) | 6.5428E+01 \(\tfrac{+}{+}\) | 6.9609E+01\(\tfrac{+}{+}\) | |
Std | 4.4303E+00 | 8.8476E+00 | 6.2668E+00 | 7.4159E+00 | 1.0619E+01 | 1.0067E+01 | 1.7066E+01 | 4.1746E+01 | 3.1930E+01 | |
F21 | Best | 1.1317E+01 | 1.5278E+01 | 1.0092E+02 | 1.0070E+02 | 1.0456E+02 | 1.0277E+02 | 8.8260E+00 | 1.0926E+02 | 1.4986E+02 |
Mean | 1.0250E+02 | 1.4155E+02 \(\tfrac{+}{+}\) | 1.0753E+02 \(\tfrac{+}{+}\) | 1.0563E+02\(\tfrac{\S }{ + }\) | 1.1456E+02\(\tfrac{+}{+}\) | 1.2263E+02\(\tfrac{+}{+}\) | 1.2797E+02\(\tfrac{+}{+}\) | 1.7937E+02\(\tfrac{+}{+}\) | 2.2720E+02 \(\tfrac{+}{+}\) | |
Std | 1.3464E+01 | 4.5471E+01 | 2.1097E+01 | 1.5927E+01 | 5.2758E+00 | 2.4464E+01 | 4.4086E+01 | 4.0283E+01 | 1.8117E+01 | |
F22 | Best | 1.5073E+01 | 1.5641E+00 | 1.7102E+00 | 1.1758E+01 | 8.1252E+01 | 6.7678E+01 | 2.7880E+01 | 3.9682E+01 | 1.0609E+02 |
Mean | 6.6984E+01 | 7.8702E+01 \(\tfrac{+}{+}\) | 7.1385E+01\(\tfrac{\S }{\S }\) | 8.7183E+01\(\tfrac{+}{+}\) | 1.5472E+02\(\tfrac{+}{+}\) | 1.2072E+02\(\tfrac{+}{+}\) | 1.1584E+02\(\tfrac{+}{+}\) | 1.3503E+02 \(\tfrac{+}{+}\) | 1.3740E+02\(\tfrac{+}{+}\) | |
Std | 3.3590E+01 | 3.2944E+01 | 3.8361E+01 | 3.4667E+01 | 3.0311E+01 | 1.5193E+01 | 5.0254E+01 | 4.8123E+01 | 2.9781E+01 | |
F23 | Best | 4.3594E+01 | 8.0335E+01 | 4.8796E+01 | 3.0056E+02 | 2.6155E+02 | 1.2812E+02 | 3.0683E+02 | 3.1428E+02 | 3.1651E+02 |
Mean | 3.0388E+02 | 3.0514E+02\(\tfrac{\S }{ + }\) | 3.0515E+02\(\tfrac{\S }{+ }\) | 3.1254E+02\(\tfrac{+}{+}\) | 3.4781E+02\(\tfrac{+}{+}\) | 3.1009E+02\(\tfrac{\S }{ + }\) | 3.2274E+02 \(\tfrac{+}{+}\) | 3.2943E+02\(\tfrac{+}{+}\) | 3.2861E+02 \(\tfrac{+}{+}\) | |
Std | 2.6210E+01 | 2.9815E+01 | 2.5871E+01 | 4.0387E+00 | 1.1004E+01 | 1.8552E+01 | 7.2646E+00 | 7.2486E+00 | 3.7398E+00 | |
F24 | Best | 1.0106E+02 | 1.1045E+02 | 1.0045E+02 | 1.0061E+02 | 1.6872E+02 | 1.9217E+02 | 1.1526E+02 | 1.4400E+02 | 2.8265E+02 |
Mean | 1.5592E+02 | 2.6020E+02\(\tfrac{+}{+}\) | 1.7835E+02\(\tfrac{ + }{\S }\) | 2.5410E+02\(\tfrac{+}{+}\) | 2.7730E+02\(\tfrac{+}{+}\) | 3.2142E+02 \(\tfrac{+}{+}\) | 3.2263E+02 \(\tfrac{+}{+}\) | 2.7939E+02\(\tfrac{+}{+}\) | 3.5377E+02 \(\tfrac{+}{+}\) | |
Std | 3.7098E+01 | 7.6009E+01 | 9.0026E+01 | 1.0835E+02 | 7.5269E+01 | 3.9470E+01 | 7.6187E+01 | 7.5630E+01 | 1.2333E+01 | |
F25 | Best | 3.9804E+02 | 2.7389E+02 | 3.9796E+02 | 3.9849E+02 | 4.5347E+02 | 4.0881E+02 | 4.1389E+02 | 3.2369E+02 | 4.3631E+02 |
Mean | 4.1494E+02 | 4.2564E+02\(\tfrac{+}{+}\) | 4.2319E+02\(\tfrac{+}{+}\) | 4.3811E+02\(\tfrac{+}{+}\) | 4.8281E+02\(\tfrac{+}{+}\) | 4.4773E+02\(\tfrac{+}{+}\) | 4.5521E+02\(\tfrac{+}{+}\) | 4.4650E+02\(\tfrac{+}{+}\) | 4.5544E+02\(\tfrac{+}{+}\) | |
Std | 1.9309E+01 | 2.5051E+01 | 2.2450E+01 | 1.5941E+01 | 1.1842E+01 | 9.9256E+00 | 1.9218E+01 | 2.2972E+01 | 8.6099E+00 | |
F26 | Best | 1.2719E+01 | 6.1468E+01 | 6.8802E+00 | 3.0080E+02 | 3.8931E+02 | 3.3708E+02 | 3.2605E+02 | 1.4658E+02 | 4.5291E+02 |
Mean | 3.0813E+02 | 3.3816E+02\(\tfrac{+}{+}\) | 3.1322E+02\(\tfrac{\S }{\S }\) | 3.4240E+02\(\tfrac{+}{+}\) | 4.6557E+02 \(\tfrac{+}{+}\) | 4.1690E+02 \(\tfrac{+}{+}\) | 4.4807E+02\(\tfrac{+}{+}\) | 4.6217E+02\(\tfrac{+}{+}\) | 7.7248E+02\(\tfrac{+}{+}\) | |
Std | 6.3578E+01 | 5.3888E+01 | 5.9333E+01 | 2.4390E+01 | 3.1815E+01 | 4.8925E+01 | 6.8393E+01 | 1.2016E+02 | 2.1150E+02 | |
F27 | Best | 3.8691E+02 | 3.8764E+02 | 3.8726E+02 | 3.8781E+02 | 4.0258E+02 | 3.9135E+02 | 3.8798E+02 | 3.9218E+02 | 3.9391E+02 |
Mean | 3.9007E+02 | 3.9237E+02\(\tfrac{+}{+}\) | 3.9194E+02 \(\tfrac{+}{+}\) | 3.9335E+02 \(\tfrac{+}{+}\) | 4.0998E+02 \(\tfrac{+}{+}\) | 3.9662E+02 \(\tfrac{+}{+}\) | 4.0148E+02 \(\tfrac{+}{+}\) | 4.0314E+02\(\tfrac{+}{+}\) | 3.9903E+02\(\tfrac{+}{+}\) | |
Std | 1.6175E+00 | 2.6294E+00 | 2.4460E+00 | 5.8942E+00 | 2.8437E+00 | 2.7908E+00 | 7.8177E+00 | 7.7684E+00 | 3.1772E+00 | |
F28 | Best | 5.4993E+01 | 1.1718E+02 | 1.3715E+01 | 3.0875E+02 | 3.9158E+02 | 3.4492E+02 | 3.0135E+02 | 3.3521E+02 | 4.2416E+02 |
Mean | 3.3521E+02 | 3.8100E+02 \(\tfrac{+}{+}\) | 3.2816E+02\(\tfrac{\S }{\S }\) | 3.7059E+02 \(\tfrac{+}{+}\) | 4.3655E+02 \(\tfrac{+}{+}\) | 5.3160E+02\(\tfrac{+}{+}\) | 5.5550E+02 \(\tfrac{+}{+}\) | 4.5902E+02\(\tfrac{+}{+}\) | 6.2158E+02 \(\tfrac{+}{+}\) | |
Std | 6.5780E+01 | 6.6759E+01 | 9.0076E+01 | 1.7253E+01 | 1.8208E+01 | 8.5471E+01 | 1.0335E+02 | 6.8004E+01 | 4.0702E+01 | |
F29 | Best | 2.3068E+02 | 2.3325E+02 | 2.2950E+02 | 2.3194E+02 | 2.7739E+02 | 2.3582E+02 | 2.3950E+02 | 2.5175E+02 | 2.7742E+02 |
Mean | 2.4208E+02 | 2.5173E+02\(\tfrac{+}{+}\) | 2.4123E+02\(\tfrac{\S}{\S}\) | 2.5171E+02\(\tfrac{+}{+}\) | 3.3244E+02 \(\tfrac{+}{+}\) | 2.5554E+02\(\tfrac{+}{+}\) | 2.8272E+02\(\tfrac{+}{+}\) | 3.2474E+02\(\tfrac{+}{+}\) | 3.2824E+02 \(\tfrac{+}{+}\) | |
Std | 6.2308E+00 | 1.3620E+01 | 7.6601E+00 | 1.3387E+01 | 2.2217E+01 | 1.2233E+01 | 2.8161E+01 | 4.1160E+01 | 2.9207E+01 | |
F30 | Best | 5.2765E+02 | 6.4853E+02 | 6.4724E+02 | 8.2180E+02 | 5.0282E+04 | 9.5645E+02 | 1.3255E+03 | 1.0263E+03 | 9.8602E+04 |
Mean | 1.8998E+03 | 6.1226E+03\(\tfrac{+}{+}\) | 2.6054E+03 \(\tfrac{+}{+}\) | 3.8883E+04\(\tfrac{+}{+}\) | 1.0051E+06\(\tfrac{+}{+}\) | 1.8318E+05 \(\tfrac{+}{+}\) | 2.6612E+05 \(\tfrac{+}{+}\) | 2.5913E+05\(\tfrac{+}{+}\) | 1.7677E+06\(\tfrac{+}{+}\) | |
Std | 1.8121E+03 | 1.0045E+04 | 2.3608E+03 | 1.9326E+05 | 5.5025E+05 | 3.1818E+05 | 4.7097E+05 | 3.1681E+05 | 1.0708E+06 |
HLO | DHLO | TVMSBPSO | BWOA | BinCSA | QBPSO | IBDE | pBGSK | |
---|---|---|---|---|---|---|---|---|
t-test | ||||||||
Better | 28 | 11 | 27 | 30 | 28 | 30 | 30 | 30 |
Same | 2 | 19 | 2 | 0 | 2 | 0 | 0 | 0 |
Worse | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
Total | 28 | 11 | 26 | 30 | 28 | 30 | 30 | 30 |
W-test | ||||||||
Better | 29 | 10 | 29 | 30 | 29 | 30 | 30 | 30 |
Same | 1 | 20 | 0 | 0 | 1 | 0 | 0 | 0 |
Worse | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
Total | 29 | 10 | 29 | 30 | 29 | 30 | 30 | 30 |
High dimensional benchmark functions
Function | Metric | HLOCC | HLO | DHLO | TVMSBPSO | BWOA | BinCSA | QBPSO | IBDE | pBGSK |
---|---|---|---|---|---|---|---|---|---|---|
F1 | Best | 3.6871E+06 | 4.7787E+07 | 1.6726E+07 | 6.8880E+07 | 1.8508E+10 | 8.2896E+07 | 6.9096E+08 | 1.0625E+09 | 2.7346E+10 |
Mean | 9.3101E+07 | 4.7736E+08\(\tfrac{+}{+}\) | 1.8444E+08\(\tfrac{+}{+}\) | 4.6805E+08\(\tfrac{+}{+}\) | 2.8133E+10\(\tfrac{+}{+}\) | 5.9392E+08\(\tfrac{+}{+}\) | 4.1045E+09\(\tfrac{+}{+}\) | 2.9770E+09\(\tfrac{+}{+}\) | 3.8623E+10\(\tfrac{+}{+}\) | |
Std | 6.5238E+07 | 3.6496E+08 | 1.2523E+08 | 3.6600E+08 | 3.2926E+09 | 3.3653E+08 | 1.6904E+09 | 1.0166E+09 | 3.8550E+09 | |
F2 | Best | 5.1743E+12 | 3.4749E+14 | 2.8614E+12 | 2.3279E+14 | 2.5387E+33 | 2.4511E+18 | 5.4753E+20 | 2.5367E+17 | 3.8411E+31 |
Mean | 1.8335E+19 | 1.1682E+25\(\tfrac{\S }{ + }\) | 9.3576E+20\(\tfrac{\S }{\S }\) | 1.7375E+26\(\tfrac{+}{+}\) | 1.6308E+36\(\tfrac{+}{+}\) | 5.6652E+26\(\tfrac{\S }{ + }\) | 1.2356E+34\(\tfrac{\S }{ + }\) | 3.4654E+30\(\tfrac{\S }{ +}\) | 2.5249E+37 \(\tfrac{+}{+}\) | |
Std | 1.3639E+20 | 7.9107E+25 | 8.3713E+21 | 7.7154E+26 | 3.5271E+36 | 4.7800E+27 | 8.2280E+34 | 3.4200E+31 | 4.3485E+37 | |
F3 | Best | 8.7640E+03 | 9.9651E+03 | 9.8150E+03 | 1.4408E+03 | 4.7942E+04 | 1.4480E+04 | 6.2473E+03 | 8.6755E+04 | 7.4904E+04 |
Mean | 1.8527E+04 | 2.2167E+04\(\tfrac{+}{+}\) | 2.0763E+04\(\tfrac{+}{+}\) | 4.9398E+03 \(\tfrac{\# }{\# }\) | 7.8834E+04 \(\tfrac{+}{+}\) | 3.2738E+04\(\tfrac{+}{+}\) | 1.7247E+04\(\tfrac{\S }{\S }\) | 1.3653E+05\(\tfrac{+}{+}\) | 1.0241E+05\(\tfrac{+}{+}\) | |
Std | 4.5122E+03 | 5.8475E+03 | 4.6522E+03 | 2.6394E+03 | 1.0230E+04 | 6.5164E+03 | 5.4273E+03 | 2.3693E+04 | 1.0996E+04 | |
F4 | Best | 8.2551E+01 | 8.7685E+01 | 7.3610E+01 | 9.9986E+01 | 1.9989E+03 | 1.1447E+02 | 1.4991E+02 | 1.5335E+02 | 3.2203E+03 |
Mean | 1.1759E+02 | 1.4647E+02\(\tfrac{+}{+}\) | 1.3357E+02 \(\tfrac{+}{+}\) | 1.4893E+02\(\tfrac{+}{+}\) | 3.6193E+03\(\tfrac{+}{+}\) | 1.6051E+02\(\tfrac{+}{+}\) | 3.2489E+02 \(\tfrac{+}{+}\) | 2.5750E+02\(\tfrac{+}{+}\) | 6.1106E+03\(\tfrac{+}{+}\) | |
Std | 1.8385E+01 | 2.8842E+01 | 2.8502E+01 | 3.0707E+01 | 6.9148E+02 | 2.5854E+01 | 1.0223E+02 | 5.8713E+01 | 1.0436E+03 | |
F5 | Best | 1.9946E+01 | 2.9017E+01 | 2.3950E+01 | 3.2281E+01 | 2.7681E+02 | 2.8944E+01 | 7.4688E+01 | 7.3437E+01 | 3.1325E+02 |
Mean | 4.0948E+01 | 5.6760E+01 \(\tfrac{+}{+}\) | 4.6732E+01 \(\tfrac{+}{+}\) | 6.4779E+01\(\tfrac{+}{+}\) | 3.3448E+02\(\tfrac{+}{+}\) | 6.9092E+01\(\tfrac{+}{+}\) | 1.3024E+02\(\tfrac{+}{+}\) | 1.3679E+02 \(\tfrac{+}{+}\) | 3.7439E+02\(\tfrac{+}{+}\) | |
Std | 8.3189E+00 | 1.1899E+01 | 9.9144E+00 | 1.5493E+01 | 2.0195E+01 | 1.6375E+01 | 2.7808E+01 | 2.1617E+01 | 2.0748E+01 | |
F6 | Best | 8.6777E-02 | 4.2521E-01 | 2.4390E-01 | 4.6356E-01 | 5.2028E+01 | 7.5630E-01 | 7.6617E+00 | 5.5367E+00 | 6.4191E+01 |
Mean | 9.8080E-01 | 2.0863E+00\(\tfrac{+}{+}\) | 1.6241E+00\(\tfrac{+}{+}\) | 1.8090E+00 \(\tfrac{+}{+}\) | 6.2027E+01\(\tfrac{+}{+}\) | 1.9469E+00\(\tfrac{+}{+}\) | 1.5914E+01\(\tfrac{+}{+}\) | 1.0351E+01\(\tfrac{+}{+}\) | 7.5400E+01\(\tfrac{+}{+}\) | |
Std | 5.4937E-01 | 8.7680E-01 | 7.3009E-01 | 8.9278E-01 | 3.6560E+00 | 6.8835E-01 | 4.7212E+00 | 2.2917E+00 | 4.4828E+00 | |
F7 | Best | 6.6467E+01 | 8.5959E+01 | 5.9036E+01 | 7.3100E+01 | 9.0341E+02 | 7.6663E+01 | 2.0662E+02 | 1.8908E+02 | 1.1168E+03 |
Mean | 9.9754E+01 | 1.3889E+02 \(\tfrac{+}{+}\) | 1.1821E+02 \(\tfrac{+}{+}\) | 1.2777E+02\(\tfrac{+}{+}\) | 1.1194E+03\(\tfrac{+}{+}\) | 1.1134E+02\(\tfrac{+}{+}\) | 3.4956E+02 \(\tfrac{+}{+}\) | 2.7249E+02\(\tfrac{+}{+}\) | 1.3120E+03\(\tfrac{+}{+}\) | |
Std | 1.6315E+01 | 2.5257E+01 | 1.9830E+01 | 2.4853E+01 | 8.0829E+01 | 1.8268E+01 | 6.3589E+01 | 3.5254E+01 | 7.7783E+01 | |
F8 | Best | 2.0835E+01 | 2.9650E+01 | 2.6407E+01 | 4.1291E+01 | 2.6735E+02 | 3.1439E+01 | 6.7940E+01 | 7.6700E+01 | 3.1144E+02 |
Mean | 4.1128E+01 | 5.7494E+01\(\tfrac{+}{+}\) | 5.0373E+01\(\tfrac{+}{+}\) | 6.6210E+01\(\tfrac{+}{+}\) | 3.1961E+02\(\tfrac{+}{+}\) | 6.6183E+01\(\tfrac{+}{+}\) | 1.2751E+02\(\tfrac{+}{+}\) | 1.2642E+02 \(\tfrac{+}{+}\) | 3.5369E+02\(\tfrac{+}{+}\) | |
Std | 1.0276E+01 | 1.1832E+01 | 1.0946E+01 | 1.2934E+01 | 1.4863E+01 | 1.7513E+01 | 2.2689E+01 | 2.2811E+01 | 1.8388E+01 | |
F9 | Best | 8.8563E+00 | 4.4603E+01 | 1.4612E+01 | 4.0045E+01 | 6.2464E+03 | 2.2824E+01 | 4.9933E+02 | 1.3333E+03 | 8.4864E+03 |
Mean | 7.3645E+01 | 2.9781E+02\(\tfrac{+}{+}\) | 1.2213E+02 \(\tfrac{+}{+}\) | 2.5080E+02\(\tfrac{+}{+}\) | 8.9235E+03\(\tfrac{+}{+}\) | 9.5823E+01 \(\tfrac{+}{+}\) | 2.0583E+03 \(\tfrac{+}{+}\) | 3.9392E+03\(\tfrac{+}{+}\) | 1.1769E+04 \(\tfrac{+}{+}\) | |
Std | 4.9404E+01 | 1.6836E+02 | 8.7201E+01 | 2.3082E+02 | 1.0269E+03 | 4.1926E+01 | 7.8424E+02 | 1.1276E+03 | 1.1651E+03 | |
F10 | Best | 8.3928E+02 | 1.0858E+03 | 8.8175E+02 | 1.2333E+03 | 6.1592E+03 | 2.6519E+03 | 1.9577E+03 | 2.1409E+03 | 6.3200E+03 |
Mean | 1.9887E+03 | 2.2633E+03\(\tfrac{+}{+}\) | 1.5873E+03\(\tfrac{\# }{\# }\) | 2.5584E+03 \(\tfrac{+}{+}\) | 7.0772E+03\(\tfrac{+}{+}\) | 5.5717E+03 \(\tfrac{+}{+}\) | 3.7193E+03\(\tfrac{+}{+}\) | 3.1967E+03 \(\tfrac{+}{+}\) | 7.1025E+03\(\tfrac{+}{+}\) | |
Std | 5.0901E+02 | 4.6180E+02 | 3.9045E+02 | 5.0801E+02 | 2.5163E+02 | 8.4561E+02 | 6.2206E+02 | 3.3857E+02 | 2.5148E+02 | |
F11 | Best | 5.8836E+01 | 6.7158E+01 | 5.7297E+01 | 3.1887E+01 | 1.0632E+03 | 1.1714E+02 | 1.8550E+02 | 4.8897E+02 | 2.2244E+03 |
Mean | 1.4670E+02 | 1.8891E+02\(\tfrac{+}{+}\) | 1.4924E+02\(\tfrac{\S }{\S }\) | 1.8500E+02\(\tfrac{+}{+}\) | 2.3720E+03\(\tfrac{+}{+}\) | 2.5075E+02 \(\tfrac{+}{+}\) | 7.9824E+02\(\tfrac{+}{+}\) | 2.7909E+03 \(\tfrac{+}{+}\) | 5.1540E+03 \(\tfrac{+}{+}\) | |
Std | 3.4409E+01 | 8.9748E+01 | 4.0167E+01 | 8.3270E+01 | 5.4290E+02 | 1.1150E+02 | 5.5542E+02 | 1.3591E+03 | 1.0852E+03 | |
F12 | Best | 2.0641E+05 | 6.1651E+05 | 2.6012E+05 | 1.9567E+05 | 1.0821E+09 | 2.1255E+06 | 2.0222E+07 | 3.0036E+07 | 2.0132E+09 |
Mean | 4.0687E+06 | 2.6395E+07\(\tfrac{+}{+}\) | 7.5688E+06\(\tfrac{+}{+}\) | 2.6914E+07\(\tfrac{+}{+}\) | 2.2315E+09 \(\tfrac{+}{+}\) | 3.2698E+07 \(\tfrac{+}{+}\) | 2.7338E+08 \(\tfrac{+}{+}\) | 1.9044E+08\(\tfrac{+}{+}\) | 3.6959E+09\(\tfrac{+}{+}\) | |
Std | 4.9612E+06 | 3.0887E+07 | 1.0678E+07 | 3.5838E+07 | 4.5423E+08 | 3.0217E+07 | 2.4304E+08 | 1.0276E+08 | 6.9125E+08 | |
F13 | Best | 2.4117E+03 | 1.3316E+03 | 1.6362E+03 | 1.4083E+04 | 2.2532E+08 | 3.1279E+04 | 1.7004E+06 | 6.0895E+05 | 1.6751E+08 |
Mean | 1.3250E+06 | 9.4807E+06\(\tfrac{+}{+}\) | 3.7253E+06\(\tfrac{+}{+}\) | 4.6499E+06\(\tfrac{+}{+}\) | 5.3699E+08 \(\tfrac{+}{+}\) | 5.7265E+06 \(\tfrac{+}{+}\) | 1.7437E+08\(\tfrac{+}{+}\) | 1.4088E+08\(\tfrac{+}{+}\) | 6.8983E+08 \(\tfrac{+}{+}\) | |
Std | 3.5146E+06 | 1.6960E+07 | 6.4271E+06 | 8.0576E+06 | 2.1269E+08 | 9.2846E+06 | 1.8763E+08 | 1.4979E+08 | 3.0453E+08 | |
F14 | Best | 2.6500E+03 | 1.7392E+03 | 1.7349E+03 | 6.8272E+02 | 2.8804E+04 | 1.2214E+03 | 5.9541E+03 | 3.5585E+04 | 7.2633E+04 |
Mean | 2.2462E+04 | 5.5131E+04 \(\tfrac{+}{+}\) | 4.2111E+04\(\tfrac{+}{+}\) | 4.0319E+04\(\tfrac{+}{+}\) | 1.8935E+05 \(\tfrac{+}{+}\) | 2.7578E+04\(\tfrac{\S }{\S }\) | 1.9893E+05 \(\tfrac{+}{+}\) | 9.1855E+05 \(\tfrac{+}{+}\) | 3.2242E+05\(\tfrac{+}{+}\) | |
Std | 1.8627E+04 | 4.2336E+04 | 3.5961E+04 | 3.7687E+04 | 8.1524E+04 | 2.3188E+04 | 2.2037E+05 | 8.1354E+05 | 1.4066E+05 | |
F15 | Best | 6.3477E+02 | 5.3316E+02 | 4.6003E+02 | 1.9558E+02 | 4.9960E+06 | 1.0235E+03 | 1.8508E+04 | 1.9398E+03 | 2.2369E+07 |
Mean | 8.4238E+04 | 6.1594E+05 \(\tfrac{+}{+}\) | 2.1123E+05 \(\tfrac{+}{+}\) | 1.6030E+06\(\tfrac{ + }{\S }\) | 2.8267E+07\(\tfrac{+}{+}\) | 1.0010E+06 \(\tfrac{+}{+}\) | 2.0840E+07 \(\tfrac{+}{+}\) | 1.1530E+07 \(\tfrac{+}{+}\) | 1.0097E+08\(\tfrac{+}{+}\) | |
Std | 1.6280E+05 | 9.7027E+05 | 3.4080E+05 | 5.5302E+06 | 1.8658E+07 | 1.6675E+06 | 3.3943E+07 | 1.9244E+07 | 3.7337E+07 | |
F16 | Best | 4.2745E+01 | 1.6382E+02 | 1.3176E+01 | 4.0847E+01 | 1.7204E+03 | 5.1463E+01 | 2.9398E+02 | 5.7106E+02 | 1.3368E+03 |
Mean | 3.6123E+02 | 5.4049E+02\(\tfrac{+}{+}\) | 5.4397E+02\(\tfrac{+}{+}\) | 6.8998E+02 \(\tfrac{+}{+}\) | 2.1915E+03\(\tfrac{+}{+}\) | 3.8924E+02\(\tfrac{\S }{\S }\) | 1.1284E+03\(\tfrac{+}{+}\) | 1.1003E+03\(\tfrac{+}{+}\) | 2.0323E+03\(\tfrac{+}{+}\) | |
Std | 1.7184E+02 | 1.5566E+02 | 2.1708E+02 | 2.4069E+02 | 1.7856E+02 | 1.9397E+02 | 3.2065E+02 | 2.1889E+02 | 1.9515E+02 | |
F17 | Best | 3.9024E+01 | 4.1422E+01 | 3.4677E+01 | 3.7189E+01 | 6.3208E+02 | 6.3653E+01 | 9.6633E+01 | 2.3643E+02 | 4.9613E+02 |
Mean | 9.5354E+01 | 1.2975E+02\(\tfrac{+}{+}\) | 1.3504E+02 \(\tfrac{+}{+}\) | 1.8558E+02 \(\tfrac{+}{+}\) | 9.2547E+02\(\tfrac{+}{+}\) | 1.4690E+02 \(\tfrac{+}{+}\) | 5.3061E+02\(\tfrac{+}{+}\) | 5.2456E+02\(\tfrac{+}{+}\) | 8.7153E+02\(\tfrac{+}{+}\) | |
Std | 4.6083E+01 | 6.1397E+01 | 8.4625E+01 | 1.2161E+02 | 1.0906E+02 | 5.4895E+01 | 1.8364E+02 | 1.2449E+02 | 1.1727E+02 | |
F18 | Best | 1.2199E+04 | 1.9341E+04 | 7.9256E+03 | 3.3853E+04 | 8.6392E+05 | 7.0709E+04 | 1.2045E+05 | 6.3784E+04 | 2.5234E+05 |
Mean | 1.7056E+05 | 3.0544E+05\(\tfrac{+}{+}\) | 2.6860E+05 \(\tfrac{+}{+}\) | 5.4365E+05\(\tfrac{+}{+}\) | 4.7940E+06\(\tfrac{+}{+}\) | 8.1750E+05\(\tfrac{+}{+}\) | 2.2419E+06 \(\tfrac{+}{+}\) | 1.2516E+06 \(\tfrac{+}{+}\) | 5.8560E+06\(\tfrac{+}{+}\) | |
Std | 1.5646E+05 | 2.1130E+05 | 2.3943E+05 | 4.9569E+05 | 1.7993E+06 | 5.3361E+05 | 2.1110E+06 | 1.2086E+06 | 2.5640E+06 | |
Mean | 1.2660E+05 | 1.1104E+06 \(\tfrac{+}{+}\) | 2.3075E+05\(\tfrac{\S }{ + }\) | 9.7091E+05\(\tfrac{+}{+}\) | 4.8679E+07 \(\tfrac{+}{+}\) | 6.3751E+05\(\tfrac{+}{+}\) | 5.9836E+07\(\tfrac{+}{+}\) | 2.0300E+07\(\tfrac{+}{+}\) | 1.6784E+08 \(\tfrac{+}{+}\) | |
Std | 4.7483E+05 | 2.9214E+06 | 5.3118E+05 | 3.9998E+06 | 1.9523E+07 | 1.0315E+06 | 7.6828E+07 | 2.9696E+07 | 5.9612E+07 | |
F19 | Best | 4.1829E+01 | 4.8985E+02 | 1.8526E+02 | 1.9604E+02 | 6.6989E+06 | 1.2846E+03 | 4.1816E+04 | 4.9769E+03 | 3.9702E+07 |
Mean | 1.2660E+05 | 1.1104E+06\(\tfrac{+}{+}\) | 2.3075E+05\(\tfrac{\S }{ + }\) | 9.7091E+05\(\tfrac{+}{+}\) | 4.8679E+07\(\tfrac{+}{+}\) | 6.3751E+05\(\tfrac{+}{+}\) | 5.9836E+07\(\tfrac{+}{+}\) | 2.0300E+07\(\tfrac{+}{+}\) | 1.6784E+08\(\tfrac{+}{+}\) | |
Std | 4.7483E+05 | 2.9214E+06 | 5.3118E+05 | 3.9998E+06 | 1.9523E+07 | 1.0315E+06 | 7.6828E+07 | 2.9696E+07 | 5.9612E+07 | |
F20 | Best | 4.4213E+01 | 4.2481E+01 | 3.5724E+01 | 2.9332E+01 | 4.1208E+02 | 5.3143E+01 | 7.6958E+01 | 1.3342E+02 | 3.9606E+02 |
Mean | 1.2042E+02 | 1.6662E+02\(\tfrac{+}{+}\) | 1.2354E+02\(\tfrac{\S }{\S }\) | 1.7436E+02 \(\tfrac{+}{+}\) | 6.7409E+02\(\tfrac{+}{+}\) | 1.3183E+02\(\tfrac{\S }{\S }\) | 3.5016E+02 \(\tfrac{+}{+}\) | 4.9582E+02\(\tfrac{+}{+}\) | 7.3110E+02\(\tfrac{+}{+}\) | |
Std | 5.7361E+01 | 7.0179E+01 | 7.4958E+01 | 1.0005E+02 | 8.6508E+01 | 6.3292E+01 | 1.3590E+02 | 1.3210E+02 | 8.8685E+01 | |
F21 | Best | 2.2361E+02 | 2.3086E+02 | 2.2640E+02 | 2.3190E+02 | 4.5984E+02 | 2.3299E+02 | 1.3518E+02 | 1.3237E+02 | 4.7364E+02 |
Mean | 2.4025E+02 | 2.5764E+02\(\tfrac{+}{+}\) | 2.5071E+02\(\tfrac{+}{+}\) | 2.6551E+02\(\tfrac{+}{+}\) | 5.0702E+02\(\tfrac{+}{+}\) | 2.7129E+02\(\tfrac{+}{+}\) | 3.3491E+02\(\tfrac{+}{+}\) | 3.2926E+02\(\tfrac{+}{+}\) | 5.3864E+02\(\tfrac{+}{+}\) | |
Std | 6.5944E+00 | 1.2400E+01 | 1.0263E+01 | 1.4173E+01 | 1.7926E+01 | 1.7781E+01 | 3.4176E+01 | 3.6307E+01 | 1.8340E+01 | |
F22 | Best | 1.2105E+02 | 1.3889E+02 | 1.2810E+02 | 1.3196E+02 | 2.4159E+03 | 1.7647E+02 | 2.1136E+02 | 3.6082E+02 | 4.0061E+03 |
Mean | 1.5342E+02 | 4.6500E+02 \(\tfrac{+}{+}\) | 3.5714E+02 \(\tfrac{+}{+}\) | 2.0587E+02 \(\tfrac{+}{+}\) | 3.2191E+03\(\tfrac{+}{+}\) | 3.4112E+02\(\tfrac{+}{+}\) | 1.3551E+03\(\tfrac{+}{+}\) | 1.6107E+03 \(\tfrac{+}{+}\) | 5.2840E+03\(\tfrac{+}{+}\) | |
Std | 1.7933E+01 | 6.6980E+02 | 5.3818E+02 | 4.4377E+01 | 2.9743E+02 | 9.4786E+01 | 1.4528E+03 | 1.3800E+03 | 4.5550E+02 | |
F23 | Best | 3.7489E+02 | 3.7657E+02 | 3.7853E+02 | 3.8636E+02 | 6.6060E+02 | 3.8214E+02 | 4.3614E+02 | 4.0855E+02 | 7.3428E+02 |
Mean | 3.9012E+02 | 4.0608E+02\(\tfrac{+}{+}\) | 4.0316E+02 \(\tfrac{+}{+}\) | 4.1382E+02\(\tfrac{+}{+}\) | 7.2754E+02 \(\tfrac{+}{+}\) | 4.1907E+02\(\tfrac{+}{+}\) | 5.0737E+02\(\tfrac{+}{+}\) | 4.7924E+02 \(\tfrac{+}{+}\) | 8.3899E+02\(\tfrac{+}{+}\) | |
Std | 8.4331E+00 | 1.3125E+01 | 1.2156E+01 | 1.3384E+01 | 1.9092E+01 | 1.6723E+01 | 3.2665E+01 | 2.8783E+01 | 3.5232E+01 | |
F24 | Best | 4.5025E+02 | 4.6803E+02 | 4.6474E+02 | 4.6239E+02 | 7.3360E+02 | 4.8478E+02 | 5.0848E+02 | 5.3903E+02 | 8.3250E+02 |
Mean | 5.0037E+02 | 5.0823E+02 \(\tfrac{+}{+}\) | 5.0165E+02\(\tfrac{\S }{\S }\) | 4.9816E+02 \(\tfrac{\S }{\S }\) | 7.8517E+02 \(\tfrac{+}{+}\) | 5.6692E+02\(\tfrac{+}{+}\) | 5.7911E+02 \(\tfrac{+}{+}\) | 6.4521E+02 \(\tfrac{+}{+}\) | 9.2994E+02 \(\tfrac{+}{+}\) | |
Std | 1.8079E+01 | 1.7867E+01 | 1.6317E+01 | 2.1058E+01 | 2.0228E+01 | 2.1539E+01 | 3.6523E+01 | 4.2400E+01 | 3.8592E+01 | |
F25 | Best | 3.8742E+02 | 3.9212E+02 | 3.9167E+02 | 3.9336E+02 | 1.4756E+03 | 4.0395E+02 | 4.5399E+02 | 4.2652E+02 | 1.9903E+03 |
Mean | 4.1465E+02 | 4.4672E+02\(\tfrac{+}{+}\) | 4.2642E+02 \(\tfrac{+}{+}\) | 4.4106E+02 \(\tfrac{+}{+}\) | 2.2801E+03 \(\tfrac{+}{+}\) | 4.4792E+02\(\tfrac{+}{+}\) | 5.8451E+02\(\tfrac{+}{+}\) | 5.1503E+02\(\tfrac{+}{+}\) | 3.0936E+03\(\tfrac{+}{+}\) | |
Std | 1.9271E+01 | 2.5353E+01 | 2.0447E+01 | 2.2770E+01 | 3.1833E+02 | 2.0415E+01 | 6.9532E+01 | 3.7933E+01 | 3.6479E+02 | |
F26 | Best | 4.7766E+02 | 7.5017E+02 | 4.3395E+02 | 7.3562E+02 | 4.5240E+03 | 1.2715E+03 | 1.2276E+03 | 8.6794E+02 | 4.9188E+03 |
Mean | 1.4581E+03 | 1.6816E+03\(\tfrac{+}{+}\) | 1.6181E+03\(\tfrac{+}{+}\) | 1.6451E+03 \(\tfrac{+}{+}\) | 5.1603E+03 \(\tfrac{+}{+}\) | 1.6991E+03 \(\tfrac{+}{+}\) | 2.6884E+03\(\tfrac{+}{+}\) | 2.1653E+03\(\tfrac{+}{+}\) | 6.3070E+03 \(\tfrac{+}{+}\) | |
Std | 1.8958E+02 | 1.9591E+02 | 2.1764E+02 | 2.4466E+02 | 2.3141E+02 | 1.7719E+02 | 5.0020E+02 | 6.3625E+02 | 3.5870E+02 | |
F27 | Best | 4.8442E+02 | 4.8343E+02 | 4.9278E+02 | 4.8813E+02 | 7.1233E+02 | 5.0281E+02 | 5.1725E+02 | 5.0735E+02 | 7.9861E+02 |
Mean | 5.0696E+02 | 5.1213E+02 \(\tfrac{+}{+}\) | 5.1249E+02\(\tfrac{+}{+}\) | 5.1435E+02 \(\tfrac{+}{+}\) | 7.9839E+02 \(\tfrac{+}{+}\) | 5.1825E+02\(\tfrac{+}{+}\) | 5.6510E+02\(\tfrac{+}{+}\) | 5.4166E+02\(\tfrac{+}{+}\) | 9.4844E+02 \(\tfrac{+}{+}\) | |
Std | 7.6150E+00 | 9.2274E+00 | 8.2597E+00 | 9.0233E+00 | 3.7896E+01 | 5.5093E+00 | 2.1663E+01 | 1.4002E+01 | 5.8633E+01 | |
F28 | Best | 4.2152E+02 | 4.4318E+02 | 4.2635E+02 | 4.3362E+02 | 1.3883E+03 | 4.9800E+02 | 5.7203E+02 | 5.0679E+02 | 1.9644E+03 |
Mean | 4.8270E+02 | 5.2942E+02\(\tfrac{+}{+}\) | 4.9681E+02 \(\tfrac{+}{+}\) | 5.0499E+02 \(\tfrac{+}{+}\) | 1.8726E+03\(\tfrac{+}{+}\) | 5.8603E+02\(\tfrac{+}{+}\) | 8.0383E+02\(\tfrac{+}{+}\) | 6.4335E+02\(\tfrac{+}{+}\) | 2.8195E+03\(\tfrac{+}{+}\) | |
Std | 2.8929E+01 | 3.9435E+01 | 3.5040E+01 | 3.8577E+01 | 2.2905E+02 | 5.1760E+01 | 1.9375E+02 | 5.8528E+01 | 3.9500E+02 | |
F29 | Best | 3.5377E+02 | 3.7593E+02 | 3.7051E+02 | 3.9813E+02 | 1.5705E+03 | 4.5978E+02 | 6.4115E+02 | 5.8491E+02 | 1.6860E+03 |
Mean | 4.7874E+02 | 5.6111E+02 \(\tfrac{+}{+}\) | 5.1867E+02 \(\tfrac{+}{+}\) | 6.3255E+02 \(\tfrac{+}{+}\) | 2.0106E+03\(\tfrac{+}{+}\) | 6.0962E+02 \(\tfrac{+}{+}\) | 1.0748E+03\(\tfrac{+}{+}\) | 8.8459E+02\(\tfrac{+}{+}\) | 2.3132E+03\(\tfrac{+}{+}\) | |
Std | 6.6550E+01 | 7.7404E+01 | 7.2004E+01 | 1.4154E+02 | 1.6583E+02 | 8.2137E+01 | 1.9744E+02 | 1.2861E+02 | 1.8491E+02 | |
F30 | Best | 2.7480E+03 | 5.0663E+03 | 3.4320E+03 | 3.9543E+03 | 1.5976E+07 | 1.1100E+04 | 4.7524E+04 | 2.1283E+04 | 1.9348E+07 |
Mean | 6.1185E+04 | 5.3789E+05 \(\tfrac{+}{+}\) | 1.6110E+05 \(\tfrac{+}{+}\) | 4.1174E+05 \(\tfrac{+}{+}\) | 5.7515E+07\(\tfrac{+}{+}\) | 4.5570E+05 \(\tfrac{+}{+}\) | 1.6324E+07 \(\tfrac{+}{+}\) | 6.6847E+06\(\tfrac{+}{+}\) | 9.5431E+07\(\tfrac{+}{+}\) | |
Std | 1.6011E+05 | 1.1304E+06 | 4.1826E+05 | 8.6956E+05 | 1.9642E+07 | 9.2004E+05 | 2.7399E+07 | 1.0959E+07 | 2.8290E+07 |
HLO | DHLO | TVMSBPSO | BWOA | BinCSA | QBPSO | IBDE | pBGSK | |
---|---|---|---|---|---|---|---|---|
t-test | ||||||||
Better | 29 | 24 | 28 | 30 | 26 | 28 | 29 | 30 |
Same | 1 | 5 | 1 | 0 | 4 | 2 | 1 | 0 |
Worse | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
Total | 29 | 23 | 27 | 30 | 26 | 28 | 29 | 30 |
W-test | ||||||||
Better | 30 | 25 | 27 | 30 | 27 | 29 | 30 | 30 |
Same | 0 | 4 | 2 | 0 | 3 | 1 | 0 | 0 |
Worse | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
Total | 30 | 24 | 26 | 30 | 27 | 29 | 30 | 30 |
The uncapacitated facility location problem
Instance | Size of the problem | Optimal cost | Size |
---|---|---|---|
Cap71 | 16 × 50 | 932,615.75 | Small |
Cap72 | 16 × 50 | 977,799.40 | Small |
Cap73 | 16 × 50 | 1,010,641.45 | Small |
Cap74 | 16 × 50 | 1,034,976.98 | Small |
Cap101 | 25 × 50 | 796,648.44 | Medium |
Cap102 | 25 × 50 | 854,704.20 | Medium |
Cap103 | 25 × 50 | 893,782.11 | Medium |
Cap104 | 25 × 50 | 928,941.75 | Medium |
Cap131 | 50 × 50 | 793,439.56 | Large |
Cap132 | 50 × 50 | 851,495.33 | Large |
Cap133 | 50 × 50 | 893,076.71 | Large |
Cap134 | 50 × 50 | 928,941.75 | Large |
CapA | 100 × 100 | 17,156,454.48 | Huge |
CapB | 100 × 100 | 12,979,071.58 | Huge |
CapC | 100 × 100 | 11,505,594.33 | Huge |
Instance | Size | Optimal cost | Size |
---|---|---|---|
MO1 | 100 × 100 | 1305.95 | Low-scaled |
MO2 | 100 × 100 | 1432.36 | Low-scaled |
MO3 | 100 × 100 | 1516.77 | Low-scaled |
MO4 | 100 × 100 | 1442.24 | Low-scaled |
MO5 | 100 × 100 | 1408.77 | Low-scaled |
MP1 | 200 × 200 | 2686.48 | Middle-scaled |
MP2 | 200 × 200 | 2904.86 | Middle-scaled |
MP3 | 200 × 200 | 2623.71 | Middle-scaled |
MP4 | 200 × 200 | 2938.75 | Middle-scaled |
MP5 | 200 × 200 | 2932.33 | Middle-scaled |
MQ1 | 300 × 300 | 4091.01 | Middle-scaled |
MQ2 | 300 × 300 | 4028.33 | Middle-scaled |
MQ3 | 300 × 300 | 4275.43 | Middle-scaled |
MQ4 | 300 × 300 | 4235.15 | Middle-scaled |
MQ5 | 300 × 300 | 4080.74 | Middle-scaled |
MR1 | 500 × 500 | 2608.15 | Large-scaled |
MR2 | 500 × 500 | 2654.73 | Large-scaled |
MR3 | 500 × 500 | 2788.25 | Large-scaled |
MR4 | 500 × 500 | 2756.04 | Large-scaled |
MR5 | 500 × 500 | 2505.05 | Large-scaled |
Problem | Optimal | Best | Worse | Mean | Std | Gap | Hit |
---|---|---|---|---|---|---|---|
Cap71 | 932,615.75 | 932,615.75 | 932,615.75 | 932,615.75 | 0.00000 | 0.00000 | 30 |
Cap72 | 977,799.40 | 977,799.40 | 977,799.40 | 977,799.40 | 0.00000 | 0.00000 | 30 |
Cap73 | 1,010,641.45 | 1,010,641.45 | 1,010,641.45 | 1,010,641.45 | 0.00000 | 0.00000 | 30 |
Cap74 | 1,034,976.98 | 1,034,976.98 | 1,034,976.98 | 1,034,976.98 | 0.00000 | 0.00000 | 30 |
Cap101 | 796,648.44 | 796,648.44 | 796,648.44 | 796,648.44 | 0.00000 | 0.00000 | 30 |
Cap102 | 854,704.20 | 854,704.20 | 854,704.20 | 854,704.20 | 0.00000 | 0.00000 | 30 |
Cap103 | 893,782.11 | 893,782.11 | 893,782.11 | 893,782.11 | 0.00000 | 0.00000 | 30 |
Cap104 | 928,941.75 | 928,941.75 | 928,941.75 | 928,941.75 | 0.00000 | 0.00000 | 30 |
Cap131 | 793,439.56 | 793,439.56 | 793,439.56 | 793,439.56 | 0.00000 | 0.00000 | 30 |
Cap132 | 851,495.33 | 851,495.33 | 851,495.33 | 851,495.32 | 0.00000 | 0.00000 | 30 |
Cap133 | 893,076.71 | 893,076.71 | 893,076.71 | 893,076.71 | 0.00000 | 0.00000 | 30 |
Cap134 | 928,941.75 | 928,941.75 | 928,941.75 | 928,941.75 | 0.00000 | 0.00000 | 30 |
CapA | 17,156,454.48 | 17,156,454.48 | 17,156,454.48 | 17,156,454.48 | 0.00000 | 0.00000 | 30 |
CapB | 12,979,071.58 | 12,979,071.58 | 12,979,071.58 | 12,979,071.58 | 0.00000 | 0.00000 | 30 |
CapC | 11,505,594.33 | 11,505,594.33 | 11,505,594.33 | 11,505,594.33 | 0.00000 | 0.00000 | 30 |
Problem | Optimal | Best | Worse | Mean | Std | Gap | Hit |
---|---|---|---|---|---|---|---|
MO1 | 1305.95 | 1305.95 | 1305.95 | 1305.95 | 0.0000 | 0.00000 | 30 |
MO2 | 1432.36 | 1432.36 | 1432.36 | 1432.36 | 0.0000 | 0.00000 | 30 |
MO3 | 1516.77 | 1516.77 | 1516.77 | 1516.77 | 0.0000 | 0.00000 | 30 |
MO4 | 1442.24 | 1442.24 | 1442.24 | 1442.24 | 0.0000 | 0.00000 | 30 |
MO5 | 1408.77 | 1408.77 | 1408.77 | 1408.77 | 0.0000 | 0.00000 | 30 |
MP1 | 2686.48 | 2686.48 | 2686.48 | 2686.48 | 0.0000 | 0.00000 | 30 |
MP2 | 2904.86 | 2904.86 | 2904.86 | 2904.86 | 0.0000 | 0.00000 | 30 |
MP3 | 2623.71 | 2623.71 | 2623.71 | 2623.71 | 0.0000 | 0.00000 | 30 |
MP4 | 2938.75 | 2938.75 | 2942.63 | 2939.01 | 0.9844 | 0.00009 | 28 |
MP5 | 2932.33 | 2932.33 | 2932.33 | 2932.33 | 0.0000 | 0.00000 | 30 |
MQ1 | 4091.01 | 4091.01 | 4091.01 | 4091.01 | 0.0000 | 0.00000 | 30 |
MQ2 | 4028.33 | 4028.33 | 4028.33 | 4028.33 | 0.0000 | 0.00000 | 30 |
MQ3 | 4275.43 | 4275.43 | 4275.43 | 4275.43 | 0.0000 | 0.00000 | 30 |
MQ4 | 4235.15 | 4235.15 | 4235.15 | 4235.15 | 0.0000 | 0.00000 | 30 |
MQ5 | 4080.74 | 4080.74 | 4104.57 | 4085.68 | 9.6534 | 0.00121 | 23 |
MR1 | 2608.15 | 2608.15 | 2609.08 | 2608.43 | 0.4335 | 0.00011 | 21 |
MR2 | 2654.73 | 2654.73 | 2654.73 | 2654.73 | 0.0000 | 0.00000 | 30 |
MR3 | 2788.25 | 2788.25 | 2792.83 | 2788.40 | 0.8362 | 0.00005 | 29 |
MR4 | 2756.04 | 2756.04 | 2756.04 | 2756.04 | 0.0000 | 0.00000 | 30 |
MR5 | 2505.05 | 2505.05 | 2505.05 | 2505.05 | 0.0000 | 0.00000 | 30 |
A comparison of HLOCC with HLO and PSO variants
Problem | HLO | DHLO | TVMSBPSO | QBPSO | BPSO | IBPSO | HLOCC | |
---|---|---|---|---|---|---|---|---|
Cap71 | Std | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 587.49 | 0.000 |
Gap | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.037 | 0.000 | |
Cap72 | Std | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1844.640 | 0.000 |
Gap | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.275 | 0.000 | |
Cap73 | Std | 0.000 | 0.000 | 0.000 | 0.000 | 634.62 | 1513.780 | 0.000 |
Gap | 0.000 | 0.000 | 0.000 | 0.000 | 0.024 | 0.198 | 0.000 | |
Cap74 | Std | 0.000 | 0.000 | 0.000 | 0.000 | 500.27 | 4426.670 | 0.000 |
Gap | 0.000 | 0.000 | 0.000 | 0.000 | 0.009 | 0.403 | 0.000 | |
Cap101 | Std | 0.000 | 0.000 | 0.000 | 157.066 | 566.44 | 3799.520 | 0.000 |
Gap | 0.000 | 0.000 | 0.000 | 3.599E−5 | 0.046 | 0.597 | 0.000 | |
Cap102 | Std | 0.000 | 0.000 | 0.000 | 0.000 | 386.76 | 3249.380 | 0.000 |
Gap | 0.000 | 0.000 | 0.000 | 0.000 | 0.015 | 0.732 | 0.000 | |
Cap103 | Std | 0.000 | 0.000 | 0.000 | 260.794 | 485.26 | 4978.980 | 0.000 |
Gap | 0.000 | 0.000 | 0.000 | 9.286E−5 | 0.042 | 0.641 | 0.000 | |
Cap104 | Std | 0.000 | 0.000 | 0.000 | 0.000 | 1951.810 | 10,845.260 | 0.000 |
Gap | 0.000 | 0.000 | 0.000 | 0.000 | 0.081 | 0.996 | 0.000 | |
Cap131 | Std | 0.000 | 0.000 | 0.000 | 386.936 | 1207.630 | 4244.290 | 0.000 |
Gap | 0.000 | 0.000 | 0.000 | 2.891E−4 | 0.132 | 2.424 | 0.000 | |
Cap132 | Std | 0.000 | 0.000 | 0.000 | 151.730 | 1196.190 | 11,569.020 | 0.000 |
Gap | 0.000 | 0.000 | 0.000 | 3.253E−5 | 0.091 | 3.601 | 0.000 | |
Cap133 | Std | 0.000 | 0.000 | 0.000 | 532.855 | 821.28 | 14,905.270 | 0.000 |
Gap | 0.000 | 0.000 | 0.000 | 6.875E−4 | 0.112 | 5.263 | 0.000 | |
Cap134 | Std | 0.000 | 0.000 | 0.000 | 1031.941 | 2285.420 | 15,788.860 | 0.000 |
Gap | 0.000 | 0.000 | 0.000 | 2.217E−4 | 0.135 | 7.634 | 0.000 | |
CapA | Std | 0.000 | 0.000 | 0.000 | 249,690.834 | 374,302.810 | 3,357,138.190 | 0.000 |
Gap | 0.000 | 0.000 | 0.000 | 0.011 | 2.179 | 137.886 | 0.000 | |
CapB | Std | 0.000 | 23,883.097 | 40,589.745 | 133,805.811 | 176,206.070 | 1,406,575.700 | 0.000 |
Gap | 0.000 | 6.031E-4 | 0.0026 | 0.015 | 1.949 | 55.270 | 0.000 | |
CapC | Std | 1877.159 | 1898.761 | 24,853.356 | 95,822.302 | 92,977.850 | 1,245,252.200 | 0.000 |
Gap | 1.965E−4 | 1.855E−4 | 0.0011 | 0.012 | 1.487 | 45.566 | 0.000 | |
W/D/L | 1/14/0 | 2/13/0 | 2/13/0 | 9/6/0 | 13/2/0 | 15/0/0 |
A comparison of HLOCC with the DE and GA variants
Problem | DisDE/rand | BinDE | IBDE | GA-SP | GA-TP | GA-UP | GA-EC | HLOCC | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Gap | Hit | Gap | Hit | Gap | Hit | Gap | Hit | Gap | Hit | Gap | Hit | Gap | Hit | Gap | Hit | |
Cap71 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 |
Cap72 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 |
Cap73 | 0 | 30 | 0 | 30 | 0 | 30 | 0.0666 | 19 | 0.0484 | 22 | 0.0424 | 23 | 0 | 30 | 0 | 30 |
Cap74 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 |
Cap101 | 0.036 | 29 | 0 | 30 | 0 | 30 | 0.0684 | 11 | 0.0648 | 12 | 0.0576 | 14 | 0.0072 | 28 | 0 | 30 |
Cap102 | 0.0049 | 29 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 |
Cap103 | 0.0055 | 27 | 0 | 30 | 0 | 30 | 0.0637 | 6 | 0.0612 | 10 | 0.0722 | 9 | 0.0067 | 22 | 0 | 30 |
Cap104 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 |
Cap131 | 0.0036 | 29 | 0.0036 | 29 | 0.0002 | 24 | 0.0681 | 16 | 0.0723 | 14 | 0.0536 | 15 | 0.0608 | 15 | 0 | 30 |
Cap132 | 0 | 30 | 0.0050 | 29 | 0 | 30 | 0 | 30 | 0 | 30 | 0.0026 | 29 | 0.0006 | 29 | 0 | 30 |
Cap133 | 0.0138 | 25 | 0.0138 | 24 | 0.00005 | 25 | 0.0913 | 10 | 0.0744 | 12 | 0.0820 | 9 | 0.0406 | 15 | 0 | 30 |
Cap134 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 | 0 | 30 |
CapA | 0.0370 | 29 | 1.3000 | 8 | 0.0203 | 3 | 0.0461 | 24 | 0.2835 | 24 | 0.0604 | 24 | 0 | 30 | 0 | 30 |
CapB | 0.1890 | 18 | 1.5200 | 0 | 0.0123 | 1 | 0.5839 | 9 | 0.6507 | 11 | 0.9905 | 3 | 0.4092 | 11 | 0 | 30 |
CapC | 0.0909 | 8 | 1.5500 | 0 | 0.0137 | 0 | 0.7049 | 2 | 0.6276 | 0 | 0.6345 | 0 | 0.1563 | 5 | 0 | 30 |
W/D/L | 7/8/0 | 9/6/0 | 10/5/0 | 8/7/0 | 7/8/0 | 10/5/0 | 7/8/0 |
A comparison of HLOCC with other state-of-the-are methods
Problem | ISS | JayaX-LSM | BinEHO | BinSSA(Sim&Logic) | BinCSA | HLOCC | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Std | Gap | Std | Gap | Std | Gap | Std | Gap | Std | Gap | Std | Gap | |
Cap71 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.00000 | 0.0000 |
Cap72 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.00000 | 0.0000 |
Cap73 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.00000 | 0.0000 |
Cap74 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.00000 | 0.0000 |
Cap101 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.00000 | 0.0000 |
Cap102 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.00000 | 0.0000 |
Cap103 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.00000 | 0.0000 |
Cap104 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.00000 | 0.0000 |
Cap131 | 0.0000 | 0.000 | 0.0000 | 0.000 | 262.50 | 0.011 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.00000 | 0.0000 |
Cap132 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.00000 | 0.0000 |
Cap133 | 0.0000 | 0.000 | 0.0000 | 0.000 | 426.68 | 0.030 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.00000 | 0.0000 |
Cap134 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.00000 | 0.0000 |
CapA | 0.0000 | 0.000 | 0.0000 | 0.000 | 46,897.94 | 0.050 | 0.0000 | 0.000 | 0.0000 | 0.000 | 0.00000 | 0.0000 |
CapB | 56,962.14 | 0.255 | 27,033.02 | 0.079 | 66,093.24 | 0.436 | 36,156.14 | 0.255 | 3107.37 | 0.006 | 0.00000 | 0.0000 |
CapC | 41,843.24 | 0.199 | 5455.9 | 0.022 | 31,053.20 | 0.239 | 27,598.80 | 0.434 | 1815.46 | 0.021 | 0.00000 | 0.0000 |
W/D/L | 2/13/0 | 2/13/0 | 5/10/0 | 2/13/0 | 2/13/0 |
Algorithm | Friedman rank | Final rank |
---|---|---|
HLO | 6.533 | 2 |
DHLO | 6.700 | 3 |
TVMSBPSO | 6.833 | 4 |
QBPSO | 10.000 | 11 |
BPSO | 16.200 | 18 |
IBPSO | 19.000 | 19 |
DisDE/rand | 10.467 | 12 |
BinDE | 11.033 | 14 |
IBDE | 8.100 | 9 |
GA-SP | 12.667 | 16 |
GA-TP | 12.533 | 15 |
GA-UP | 13.067 | 17 |
GA-EC | 10.633 | 13 |
ISS | 7.733 | 7 |
JayaX-LSM | 7.367 | 6 |
BinEHO | 9.700 | 10 |
BinSSA(Sim&Logic) | 7.867 | 8 |
BinCSA | 7.100 | 5 |
HLOCC | 6.467 | 1 |
Results on M*
Problem | ISS | PLS | LS | BinSSA(Sim&Logic) | BinCSA | HLOCC | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Mean | Gap | Mean | Gap | Mean | Gap | Mean | Gap | Mean | Gap | Mean | Gap | |
MO1 | 1305.95 | 0.000 | 1305.95 | 0.000 | 1305.95 | 0.000 | 1305.95 | 0.000 | 1305.95 | 0.000 | 1305.95 | 0.00000 |
MO2 | 1432.36 | 0.000 | 1432.49 | 0.009 | 1432.49 | 0.009 | 1432.36 | 0.000 | 1432.36 | 0.000 | 1432.36 | 0.00000 |
MO3 | 1516.77 | 0.000 | 1520.27 | 0.230 | 1520.27 | 0.230 | 1516.77 | 0.000 | 1516.77 | 0.000 | 1516.77 | 0.00000 |
MO4 | 1442.24 | 0.000 | 1442.24 | 0.000 | 1442.24 | 0.000 | 1442.24 | 0.000 | 1442.24 | 0.000 | 1442.24 | 0.00000 |
MO5 | 1408.77 | 0.000 | 1409.17 | 0.028 | 1409.17 | 0.029 | 1408.77 | 0.000 | 1408.77 | 0.000 | 1408.77 | 0.00000 |
MP1 | 2686.66 | 0.007 | 2688.50 | 0.075 | 2688.50 | 0.075 | 2687.66 | 0.044 | 2686.66 | 0.007 | 2686.48 | 0.00000 |
MP2 | 2904.86 | 0.000 | 2904.86 | 0.000 | 2904.86 | 0.000 | 2904.86 | 0.000 | 2904.86 | 0.000 | 2904.86 | 0.00000 |
MP3 | 2624.34 | 0.024 | 2624.77 | 0.040 | 2624.77 | 0.040 | 2624.00 | 0.011 | 2623.71 | 0.000 | 2623.71 | 0.00000 |
MP4 | 2940.80 | 0.069 | 2939.53 | 0.026 | 2939.53 | 0.026 | 2940.50 | 0.060 | 2938.83 | 0.003 | 2939.01 | 0.00009 |
MP5 | 2932.60 | 0.009 | 2933.46 | 0.038 | 2933.46 | 0.038 | 2932.50 | 0.006 | 2932.33 | 0.000 | 2932.33 | 0.00000 |
MQ1 | 4091.01 | 0.000 | 4,091.01 | 0.000 | 4091.01 | 0.000 | 4091.01 | 0.000 | 4091.01 | 0.000 | 4091.01 | 0.00000 |
MQ2 | 4030.08 | 0.043 | 4,028.33 | 0.000 | 4028.33 | 0.000 | 4028.33 | 0.000 | 4028.33 | 0.000 | 4028.33 | 0.00000 |
MQ3 | 4275.43 | 0.000 | 4,275.43 | 0.000 | 4275.43 | 0.000 | 4275.43 | 0.000 | 4275.43 | 0.000 | 4275.43 | 0.00000 |
MQ4 | 4236.46 | 0.031 | 4,235.47 | 0.008 | 4235.47 | 0.007 | 4236.46 | 0.031 | 4235.15 | 0.000 | 4235.15 | 0.00000 |
MQ5 | 4095.46 | 0.360 | 4,086.53 | 0.142 | 4086.53 | 0.141 | 4086.45 | 0.140 | 4087.95 | 0.177 | 4085.68 | 0.00121 |
MR1 | 2647.03 | 1.490 | 2,608.24 | 0.004 | 2608.24 | 0.003 | 2610.24 | 0.080 | 2619.04 | 0.418 | 2608.43 | 0.00011 |
MR2 | 2691.54 | 1.386 | 2,654.73 | 0.000 | 2654.73 | 0.003 | 2655.73 | 0.038 | 2718.65 | 2.408 | 2654.73 | 0.00000 |
MR3 | 2832.33 | 1.581 | 2,789.04 | 0.028 | 2789.04 | 0.028 | 2790.14 | 0.068 | 2791.34 | 0.111 | 2788.40 | 0.00005 |
MR4 | 2807.90 | 1.881 | 2,756.04 | 0.000 | 2756.04 | 0.000 | 2756.04 | 0.000 | 2785.53 | 1.070 | 2756.04 | 0.00000 |
MR5 | 2549.97 | 1.793 | 2,505.48 | 0.017 | 2505.48 | 0.017 | 2505.40 | 0.014 | 2510.50 | 0.218 | 2505.05 | 0.00000 |
Problem | TS1 | TS3 | HLOCC |
---|---|---|---|
Gap | Gap | Gap | |
MO1 | 0.0030 | 0.020 | 0.00000 |
MO2 | 0.0000 | 0.0000 | 0.00000 |
MO3 | 0.0018 | 0.0000 | 0.00000 |
MO4 | 0.0000 | 0.0040 | 0.00000 |
MO5 | 0.0000 | 0.0000 | 0.00000 |
MP1 | 0.0000 | 0.0000 | 0.00000 |
MP2 | 0.0000 | 0.0000 | 0.00000 |
MP3 | 0.0000 | 0.0000 | 0.00000 |
MP4 | 0.0000 | 0.0000 | 0.00009 |
MP5 | 0.0000 | 0.0000 | 0.00000 |
MQ1 | 0.0000 | 0.0000 | 0.00000 |
MQ2 | 0.0000 | 0.0020 | 0.00000 |
MQ3 | 0.0000 | 0.0000 | 0.00000 |
MQ4 | 0.0000 | 0.0000 | 0.00000 |
MQ5 | 0.0000 | 0.0000 | 0.00121 |
MR1 | 0.0000 | 0.0000 | 0.00011 |
MR2 | 0.0000 | 0.0000 | 0.00000 |
MR3 | 0.0000 | 0.0000 | 0.00005 |
MR4 | 0.0000 | 0.0000 | 0.00000 |
MR5 | 0.0000 | 0.0040 | 0.00000 |