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2020 | OriginalPaper | Buchkapitel

On the Self-organizing Migrating Algorithm Comparison by Means of Centrality Measures

verfasst von : Lukas Tomaszek, Patrik Lycka, Ivan Zelinka

Erschienen in: AETA 2018 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application

Verlag: Springer International Publishing

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Abstract

In this article we continue in our research which combines three different areas - swarm and evolutionary algorithms, networks and coupled map lattices control. Main aim of this article is to compare networks obtained from best and worst self-organizing migrating algorithm runs. All experiments were done on well known CEC 2014 benchmark functions. For each selected function we picked 30 best and 30 worst runs, converted each run into a network, counted selected properties and compared the results. All obtained results are reported in this article.

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Vorheriges Kapitel A New Simple, Fast and Robust Total Least Square Error Computation in E2: Experimental Comparison
Nächstes Kapitel A Brief Overview of the Synergy Between Metaheuristics and Unconventional Dynamics
Literatur
1.
Bagler, G.: Analysis of the airport network of India as a complex weighted network. Phys. A: Stat. Mech. Appl. 387(12), 2972–2980 (2008)CrossRef
2.
Barabási, A.L., Albert, R., Jeong, H.: Scale-free characteristics of random networks: the topology of the world-wide web. Phys. A: Stat. Mech. Appl. 281(1–4), 69–77 (2000)CrossRef
3.
Barrat, A., Barthelemy, M., Pastor-Satorras, R., Vespignani, A.: The architecture of complex weighted networks. Proc. Nat. Acad. Sci. U.S.A. 101(11), 3747–3752 (2004)CrossRef
4.
Barrat, A., Barthelemy, M., Vespignani, A.: The architecture of complex weighted networks: measurements and models. In: Large Scale Structure and Dynamics of Complex Networks: From Information Technology to Finance and Natural Science, pp. 67–92. World Scientific (2007)
5.
Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., Hwang, D.U.: Complex networks: structure and dynamics. Phys. Rep. 424(4–5), 175–308 (2006)MathSciNetCrossRef
6.
Brandes, U.: A faster algorithm for betweenness centrality. J. Math. Sociol. 25(2), 163–177 (2001)CrossRef
7.
Davendra, D., Zelinka, I., et al.: Self-organizing migrating algorithm. In: New Optimization Techniques in Engineering (2016)
8.
9.
Dorigo, M., Birattari, M., Stutzle, T.: Ant colony optimization. IEEE Comput. Intell. Mag. 1(4), 28–39 (2006)CrossRef
10.
Freeman, L.C.: Centrality in social networks conceptual clarification. Soc. Netw. 1(3), 215–239 (1978)CrossRef
11.
Krömer, P., Kudělka, M., Senkerik, R., Pluhacek, M.: Differential evolution with preferential interaction network. In: 2017 IEEE Congress on Evolutionary Computation (CEC), pp. 1916–1923. IEEE (2017)
12.
Liang, J., Qu, B., Suganthan, P.: Problem definitions and evaluation criteria for the CEC 2014 special session and competition on single objective real-parameter numerical optimization. Computational Intelligence Laboratory, Zhengzhou University, Zhengzhou China and Technical Report, Nanyang Technological University, Singapore (2013)
13.
14.
Newman, M.E.: Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality. Phys. Rev. E 64(1), 016132 (2001)MathSciNetCrossRef
15.
Newman, M.E.: Analysis of weighted networks. Phys. Rev. E 70(5), 056131 (2004)CrossRef
16.
O’Madadhain, J., Fisher, D., Smyth, P., White, S., Boey, Y.B.: Analysis and visualization of network data using jung. J. Stat. Softw. 10(2), 1–35 (2005)
17.
Opsahl, T., Agneessens, F., Skvoretz, J.: Node centrality in weighted networks: generalizing degree and shortest paths. Soc. Netw. 32(3), 245–251 (2010)CrossRef
18.
Rubinov, M., Sporns, O.: Complex network measures of brain connectivity: uses and interpretations. Neuroimage 52(3), 1059–1069 (2010)CrossRef
19.
Scott, J.: Social Network Analysis. Sage, Thousand Oaks (2017)
20.
Soh, H., Lim, S., Zhang, T., Fu, X., Lee, G.K.K., Hung, T.G.G., Di, P., Prakasam, S., Wong, L.: Weighted complex network analysis of travel routes on the singapore public transportation system. Phys. A: Stat. Mech. Appl. 389(24), 5852–5863 (2010)CrossRef
21.
Tomaszek, L., Zelinka, I.: On performance improvement of the soma swarm based algorithm and its complex network duality. In: 2016 IEEE Congress on Evolutionary Computation (CEC), pp. 4494–4500. IEEE (2016)
22.
Tomaszek, L., Zelinka, I.: On static control of swarm systems. In: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1–7. IEEE (2017)
23.
Tomaszek, L., Zelinka, I.: Conversion of soma algorithm into complex networks. In: Evolutionary Algorithms, Swarm Dynamics and Complex Networks, pp. 101–114. Springer (2018)
24.
Wasserman, S., Faust, K.: Social Network Analysis: Methods and Applications, vol. 8. Cambridge University Press, Cambridge (1994)CrossRef
25.
Zelinka, I.: Investigation on evolutionary deterministic chaos control-extended study. Heuristica 1000, 2 (2005)
26.
Zelinka, I.: SOMA–self-organizing migrating algorithm. In: Self-Organizing Migrating Algorithm, pp. 3–49. Springer (2016)
27.
Zelinka, I.: On mutual relations amongst evolutionary algorithm dynamics and its hidden complex network structures: an overview and recent advances. In: Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications, pp. 215–239. IGI Global (2017)
28.
Zelinka, I., Senkerik, R., Navratil, E.: Investigation on evolutionary optimization of chaos control. Chaos Solitons Fractals 40(1), 111–129 (2009)CrossRef
29.
Zelinka, I., Tomaszek, L., Kojecky, L.: On evolutionary dynamics modeled by ant algorithm. In: 2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS), pp. 193–198. IEEE (2016)
Metadaten
Titel
On the Self-organizing Migrating Algorithm Comparison by Means of Centrality Measures
verfasst von
Lukas Tomaszek
Patrik Lycka
Ivan Zelinka
Copyright-Jahr
2020
Buch
AETA 2018 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application

Print ISBN: 978-3-030-14906-2

Electronic ISBN: 978-3-030-14907-9

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-14907-9_33

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