Parameter selection and adaptation in Unified Particle Swarm Optimization

Authors:
K. E. Parsopoulos;M. N. Vrahatis
Affiliations:
Computational Intelligence Laboratory (CI Lab), Department of Mathematics, University of Patras, GR-26110 Patras, Greece and University of Patras Artificial Intelligence Research Center (UPAIRC), ...;Computational Intelligence Laboratory (CI Lab), Department of Mathematics, University of Patras, GR-26110 Patras, Greece and University of Patras Artificial Intelligence Research Center (UPAIRC), ...
Venue:
Mathematical and Computer Modelling: An International Journal
Year:
2007

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Abstract

The performance of the recently proposed Unified Particle Swarm Optimization method is investigated under different schemes for the determination and adaptation of the unification factor, which is the main parameter of the method, controlling its exploration and exploitation properties. Widely used benchmark problems are employed and numerous experiments are conducted along with statistical tests to yield useful conclusions regarding the effect of the parameter on the algorithm's performance as well as the most efficient adaptation schemes.