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Abstract: Particle Swarm Optimisation is a stochastic global optimisation technique making use of a population of particles, where each particle represents a solution to the problem being optimised. The Cooperative Particle Swarm Optimiser (CPSO) is a variant of the original Particle Swarm Optimiser (PSO). This technique splits the solution vector into smaller vectors, where each sub-vector is optimised using a separate PSO. This paper investigates the e ect of swarm size on the CPSO, showing that the... (Update)
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BibTeX entry: (Update)
@inproceedings{ vandenbergh01effects,
author = "F. van den Bergh and A. P. Engelbrecht",
title = "Effects of Swarm Size on Cooperative Particle Swarm Optimisers",
booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference ({GECCO}-2001)",
month = "7-11",
publisher = "Morgan Kaufmann",
address = "San Francisco, California, USA",
editor = "Lee Spector and Erik D. Goodman and Annie Wu and W. B. Langdon and Hans-Michael Voigt and Mitsuo Gen and Sandip Sen and Marco Dorigo and Shahram Pezeshk and Max H. Garzon and Edmund Burke",
isbn = "1-55860-774-9",
pages = "892--899",
year = "2001",
url = "citeseer.ist.psu.edu/447945.html" }
Citations (may not include all citations):30 Computational Intelligence PC Tools (context) - Eberhart, Simpson et al. - 1996 ACM
21 A New Optimizer using Particle Swarm Theory (context) - Eberhart, Kennedy - 1995
7 Training product unit neural networks - Engelbrecht, Ismail - 1999
6 Comparing Inertia Weights and Constriction Factors in Partic.. (context) - Eberhart, Shi - 2000
5 Cooperative Learning in Neural Networks using Particle Swarm.. - van den Bergh, Engelbrecht - 2000
2 A Modied Particle Swarm Optimizer (context) - Shi, Eberhart - 1998
2 A Cooperative Approach to Particle Swarm Optimisation (context) - van den Bergh, Engelbrecht - 2001
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