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Particle swarm and population structure

Published:06 July 2018Publication History

ABSTRACT

We investigate the convergence speed, accuracy, robustness and scalability of PSOs structured by regular and random graphs with 3 ≤ kn. The main conclusion is that regular and random graphs with the same averaged connectivity k may result in significantly different performance, namely when k is low.

References

  1. Kennedy, J., Eberhart, R. 1995. Particle Swarm Optimization. In Proceedings of IEEE International Conference on Neural Networks, Vol.4, 1942--1948.Google ScholarGoogle ScholarCross RefCross Ref
  2. Kennedy, J., Mendes, R. 2002. Population structure and particle swarm performance. In Proceedings of the IEEE World Congress on Evolutionary Computation, 1671--1676. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Parsopoulos, K.E., Vrahatis, M.N. 2005. Unified Particle Swarm Optimization in Dynamic Environments. Lecture Notes in Computer Science, Vol. 3449, Springer, 590--599. Google ScholarGoogle ScholarDigital LibraryDigital Library
  1. Particle swarm and population structure

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    • Published in

      cover image ACM Conferences
      GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion
      July 2018
      1968 pages
      ISBN:9781450357647
      DOI:10.1145/3205651

      Copyright © 2018 Owner/Author

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 6 July 2018

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