A Cooperative approach to particle swarm optimization

The particle swarm optimizer (PSO) is a stochastic, population-based optimization technique that can be applied to a wide range of problems, including neural network training. This paper presents a variation on the traditional PSO algorithm, called the cooperative particle swarm optimizer, or CPSO,...

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Veröffentlicht in:	IEEE transactions on evolutionary computation Jg. 8; H. 3; S. 225 - 239
Hauptverfasser:	van den Bergh, F., Engelbrecht, A.P.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.06.2004 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Africa Algorithms Applied sciences Artificial intelligence Benchmarking Computer science Computer science; control theory; systems Exact sciences and technology Genetic algorithms Information technology Mathematical analysis Neural networks Optimization Particle swarm optimization Partitioning algorithms Pattern recognition. Digital image processing. Computational geometry Performance enhancement Space technology Stochastic processes Topology Vectors (mathematics) Convergence behavior Evolutionary algorithm cooperative learning cooperative swarms Neural network particle swarm optimization Coevolution Optimization Stochastic programming Collective learning Algorithm performance Genetic algorithm cooperative coevolutionary genetic algorithm Swarm intelligence Mathematical programming
ISSN:	1089-778X, 1941-0026
Online-Zugang:	Volltext
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