AN EFFECTIVE PARALLEL PARTICLE SWARM OPTIMIZATION ALGORITHM AND ITS PERFORMANCE EVALUATION

AN EFFECTIVE PARALLEL PARTICLE SWARM OPTIMIZATION ALGORITHM AND ITS PERFORMANCE EVALUATION

Population-based global optimization algorithms including Particle Swarm Optimization (PSO) have become popular for solving multi-optima problems much more efficiently than the traditional mathematical techniques. In this research, we present and evaluate a new parallel PSO algorithm that provides a...

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Bibliographic Details
Main Author: Maripi, Jagadish Kumar
Format: Others
Published: OpenSIUC 2010
Subjects:
artificial intelligence
cluster computing
parallel computing
Particle swarm optimization
pso
swarm intelligence
Online Access:https://opensiuc.lib.siu.edu/theses/275
https://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=1282&context=theses

Internet

https://opensiuc.lib.siu.edu/theses/275
https://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=1282&context=theses

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