Unified particle swarm optimization in dynamic environments

Authors:
K. E. Parsopoulos;M. N. Vrahatis
Affiliations:
Computational Intelligence Laboratory (CI Lab), Department of Mathematics, University of Patras, Patras, Greece;University of Patras Artificial Intelligence Research Center (UPAIRC), University of Patras, Patras, Greece
Venue:
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
Year:
2005

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Abstract

A first investigation of the recently proposed Unified Particle Swarm Optimization algorithm on dynamic environments is provided and discussed on widely used test problems. Results are very promising compared to the corresponding results of the standard Particle Swarm Optimization algorithm, indicating the superiority of the new scheme.