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Erschienen in:
Introduction to Optimization Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

6. Probability Collectives for Discrete and Mixed Variable Problems

verfasst von : Anand Jayant Kulkarni, Kang Tai, Ajith Abraham

Erschienen in: Probability Collectives

Verlag: Springer International Publishing

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Abstract

This chapter demonstrates the ability of PC for solving practically important discrete and mixed variable problems in structural and mechanical engineering domain. The truss structure problems such as 17-bar, 25-bar, 72-bar, 45-Bar, 10-Bar and 38-Bar, a helical compression spring design, a reinforced concrete beam design, stepped cantilever beam design and speed reducer were successfully solved.

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Vorheriges Kapitel Constrained Probability Collectives with Feasibility Based Rule I
Nächstes Kapitel Probability Collectives with Feasibility-Based Rule II
Literatur
1.
Wu, S.J., Chow, P.T.: Steady-state genetic algorithms for discrete optimization of trusses. Comput. Struct. 56(6), 979–991 (1995)CrossRefMATH
2.
Adeli, H., Kumar, S.: Distributed genetic algorithm for structural optimization. J. Aerosp. Eng. ASCE 8(3), 156–163 (1995)CrossRef
3.
Lee, K.S., Geem, Z.W.: A new structural optimization method based on the harmony search algorithm. Comput. Struct. 82, 781–798 (2004)CrossRef
4.
Lee, K.S., Geem, Z.W., Lee, S.H., Bae, K.W.: The harmony search heuristic algorithm for discrete structural optimization. Eng. Optim. 37(7), 663–684 (2005)CrossRefMathSciNet
5.
Li, L.J., Huang, Z.B., Liu, F., Wu, Q.H.: A heuristic particle swarm optimization of pin connected structures. Comput. Struct. 85, 340–349 (2007)CrossRef
6.
Li, L.J., Huang, Z.B., Liu, F.: A heuristic particle swarm optimization method for truss structures with discrete variables. Comput. Struct. 87(7–8), 435–443 (2009)CrossRef
7.
Kaveh, A., Talatahari, S.: A particle swarm ant colony optimization for truss structures with discrete variables. J. Struct. Steel Res. 65, 1558–1568 (2009)CrossRef
8.
Deb, K. Goyal, M.: Optimizing engineering designs using a combined genetic search. In: Proceedings Back IT, 7th International Conference of Genetic Algorithm, pp. 512–528 (1997)
9.
Rajeev, S., Krishnamoorthy, C.S.: Discrete optimization of structures using genetic algorithm. J. Struct. Eng. ASCE 118(5), 1123–1250 (1992)CrossRef
10.
Wu, S.J., Chow, P.E.: Genetic algorithms for nonlinear mixed discrete-integer optimization problems via metagenetic parameter optimizations. Eng. Optim. 24(2), 137–159 (1995)CrossRefMathSciNet
11.
Yun, Y.S.: Study on Adaptive Hybrid Genetic Algorithm and its Applications to Engineering Design Problems. M.Sc. thesis, Waseda University (2005)
12.
Lemonge, A.C.C., Barbosa, H.J.C.: An adaptive penalty scheme for genetic algorithms in structural optimization. Int. J. Numer. Methods Eng. 59(5), 703–736 (2004)CrossRefMATH
13.
Erbatur, F., Hasancebi, O., Tutuncu, I., Kilic, H.: Optimal design of planar and space structures with genetic algorithms. Comput. Struct. 75(2), 209–224 (2000)CrossRef
14.
Bernardino, H.S., Barbosa, H.J.C., Lemonge, A.C.C.: A hybrid genetic algorithm for constrained optimization problems in mechanical engineering. In: Proceedings IEEE Congress Evolution Computations, pp. 646–653 (2007)
15.
Coello, C.A.C., Cortes, N.C.: Hybridizing a genetic algorithm with an artificial immune system for global optimization. Eng. Optim. 36(5), 607–634 (2004)CrossRefMathSciNet
16.
Azad, S.K., Azad, S.K., Kulkarni, A.J.: Structural optimization using a mutation-based genetic algorithm. Int. J. Optim. Civil Eng. 2(1), 80–100 (2012)
17.
Ringertz, U.T.: On methods for discrete structural constraints. Eng. Optim. 13(1), 47–64 (1988)CrossRef
18.
Guo, C.X., Hu, J.S., Ye, B., Cao, Y.J.: Swarm intelligence for mixed-variable design optimization. J. Zhejiang Univ. Sci. 5(7), 851–860 (2004)CrossRefMATH
19.
Sadollah, A., Bahreininejad, A., Eskandar, H., Hamdi, M.: Mine blast algorithm for optimization of truss structures with discrete variables. Comput. Struct. 49(63), 102–103 (2012)
20.
Gandomi, A.H., Xin-She Yang., Alavi, A.H.: Mixed variable structural optimization using Firefly algorithm. Comput. Struct. 89(23–24), pp. 2325–2336 (2011)
21.
Shih, C.J., Yang, Y.C.: Generalized Hopfield network based structural optimization using sequential unconstrained minimization technique with additional penalty strategy, Adv. Eng. Softw. 33 (7–10), pp. 721–729 (2002)
22.
Sandgren, E.: Nonlinear integer and discrete programming in mechanical design optimization. J. Mech. Des. 112(2), 223–229 (1990)CrossRef
23.
Amir, H.M., Hasegawa, T.: Nonlinear mixed-discrete structural optimization. J. Struct. Eng. 115(3), 626–645 (1989)CrossRef
24.
Efren, M., Coello, C.A.C., Ricardo, L.: Engineering optimization using a simple evolutionary algorithm. In: Proceedings 15th International Conference on Tools with Artificial Intelligence (ICTAI), pp. 149–156 (2003)
25.
Pant, M., Thangaraj, R., Singh, V.P.: Optimization of mechanical engineering design problems using improved differential evolutionary algorithm. Int. J. Resent Trend Eng. 1(5), 21–25 (2009)
26.
Chen, T.Y., Chen, H.C.: Mixed-discrete structural optimization using a rank-niche evolution strategy. Eng. Optim. 41(1), 39–58 (2009)CrossRef
27.
Montes, E.M., Ocana, B.H.: Modified bacterial foraging optimization for engineering design. In: C.H. Dagli, et al., of the Artificial Neural Networks in Engineering Conference (ANNIE), ASME Press series, Intelligent Engineering Systems through Artificial Neural Networks, 19, pp. 357–364 (2009)
28.
Thanedar, P.B., Vanderplaats, G.N.: Survey of discrete variable optimization for structural design. J. Struct. Eng. 121(2), 301–306 (1995)CrossRef
29.
Arnout, S.: International Student Competition in Structural Optimization, Aug. 26–27 (2011)
30.
Rudolph, S., Schmidt, J.: International Student Competition in Structural Optimization, Aug. 26–27 (2012)
31.
Kulkarni, A.J., Kale, I.R., Tai, K.: Probability collectives for solving discrete and mixed variable problems. In: International Journal of Computer Aided Engineering and Technology (2014) (In Press)
32.
Kulkarni, A.J., Kale, I.R., Tai, K., Azad, S.K.: Discrete optimization of truss structure using probability collectives. In: Proceedings IEEE 12th International Conference of Hybrid Intelligence System, pp. 225–230 (2002)
33.
Kulkarni, A.J., Kale, I.R., Tai, K.: Probability collectives for solving truss structure problems. In: 10th World Congress on Structural and Multidisciplinary Optimization, paper no. 5395 (2013)
Metadaten
Titel
Probability Collectives for Discrete and Mixed Variable Problems
verfasst von
Anand Jayant Kulkarni
Kang Tai
Ajith Abraham
Copyright-Jahr
2015
Buch
Probability Collectives

Print ISBN: 978-3-319-15999-7

Electronic ISBN: 978-3-319-16000-9

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-16000-9_6