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» Adaptive diversity in PSO
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IPPS
2007
IEEE
14 years 1 months ago
Distributed Adaptive Particle Swarm Optimizer in Dynamic Environment
Particle Swarm Optimization (PSO) is a population-based stochastic optimization technique, which can be used to find an optimal, or near optimal, solution to a numerical and quali...
Xiaohui Cui, Thomas E. Potok
EOR
2007
159views more  EOR 2007»
13 years 7 months ago
Solving the semi-desirable facility location problem using bi-objective particle swarm
In this paper, a new model for the semi-obnoxious facility location problem is introduced. The new model is composed of a weighted minisum function to represent the transportation...
Haluk Yapicioglu, Alice E. Smith, Gerry V. Dozier
IPPS
2009
IEEE
14 years 2 months ago
Adaptative clustering Particle Swarm Optimization
—The performance of Particle Swarm Optimization (PSO) algorithms depends strongly upon the interaction among the particles. The existing communication topologies for PSO (e.g. st...
Salomão S. Madeiro, Carmelo J. A. Bastos Fi...
GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
13 years 11 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
SASO
2008
IEEE
14 years 1 months ago
Evaporation as a Self-Adaptation Mechanism for PSO
This work extends the Particle Swarm Optimization (PSO) algorithm for working on dynamic environments. We propose an evaporation mechanism to solve the outdated memory problem. We...
Jose Luis Fernandez-Marquez, Josep Lluís Ar...