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Particle swarm with self-organized criticality

Published: 07 July 2012 Publication History

Abstract

This paper introduces a strategy for controlling the parameters of the Particle Swarm Optimization (PSO) based on a Self-Organized Criticality (SOC) system known as the Bak-Sneppen model of co-evolution. An experimental setup compares the new algorithm with a state-of-the-art PSO with dynamic variation of the inertia weight value and perturbation of the particles' positions.

References

[1]
Bak, P., and Sneppen, K. 1993. Punctuated Equilibrium and Criticality in a Simple Model of Evolution. Physical Review Letters, Vol. 71(24), 4083--4086.
[2]
Fernandes, C.M., Merelo, J.J., Ramos, V., Rosa, A.C. 2008. A Self-Organized Criticality Mutation Operator for Dynamic Optimization Problems. In Proceedings of the 2008 Genetic and Evolutionary Computation Conference, ACM, 937--944.
[3]
Kennedy, J.; Eberhart, R. 1995. Particle Swarm Optimization. In Proceedings of IEEE International Conference on Neural Networks, Vol.4, 1942--1948.
[4]
Løvbjerg, M., Krink, T. 2002. Extending particle swarm optimizers with self-organized criticality. In Proc. of the 2002 IEEE Congress on Evolutionary Computation, Vol. 2, IEEE Computer Society, 1588--1593.
[5]
Shi, Y. Eberhart, R.C. 1998. A Modified Particle Swarm Optimizer. In Pro. of IEEE 1998 International Conference on Evolutionary Computation, IEEE Press, 69--73.
[6]
Suresh, K., Ghosh, S., Kundu, D., Sen, A., Das, S., Abraham, A. 2008. Inertia-Adaptive Particle Swarm Optimizer for Improved Global Search. In Proceedings of the 8th Inter. Conference on Intelligent Systems Design and Applications, Vol. 2. IEEE, Washington, DC, USA, 253--258.

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Published In

cover image ACM Conferences
GECCO '12: Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
July 2012
1586 pages
ISBN:9781450311786
DOI:10.1145/2330784

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 July 2012

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GECCO '12
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GECCO '12: Genetic and Evolutionary Computation Conference
July 7 - 11, 2012
Pennsylvania, Philadelphia, USA

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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