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» Particle Swarm Optimization Using Adaptive Mutation
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ICONIP
2004
13 years 7 months ago
Evaluation of Comprehensive Learning Particle Swarm Optimizer
Abstract. Particle Swarm Optimizer (PSO) is one of the evolutionary computation techniques based on swarm intelligence. Comprehensive Learning Particle Swarm Optimizer (CLPSO) is a...
Jing J. Liang, A. Kai Qin, Ponnuthurai N. Sugantha...
GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
13 years 10 months ago
Adaptively choosing niching parameters in a PSO
Niching techniques play an important role in evolutionary algorithms. Existing niching methods often require userspecified parameters, limiting their usefulness. This paper propos...
Stefan Bird, Xiaodong Li
AHS
2006
IEEE
127views Hardware» more  AHS 2006»
13 years 10 months ago
Using Hardware-Based Particle Swarm Method for Dynamic Optimization of Adaptive Array Antennas
The following article describes and discusses the suitability of the particle swarm optimization (PSO) for the employment with blind adaptation of the directional characteristic o...
Gabriella Kókai, Tonia Christ, Hans Holm Fr...
SYNASC
2008
IEEE
277views Algorithms» more  SYNASC 2008»
14 years 20 days ago
An Adaptive Particle Swarm Optimizer Using Balanced Explorative and Exploitative Behaviors
Particle Swarm Optimization (PSO) has recently emerged as a nature inspired algorithm for real parameter optimization. This article describes a method for improving the final accur...
Sayan Ghosh, Debarati Kundu, Kaushik Suresh, Swaga...
ISICA
2007
Springer
14 years 12 days ago
Fast Multi-swarm Optimization with Cauchy Mutation and Crossover Operation
The standard Particle Swarm Optimization (PSO) algorithm is a novel evolutionary algorithm in which each particle studies its own previous best solution and the group’s previous ...
Qing Zhang, Changhe Li, Yong Liu, Lishan Kang