Adaptive particle swarm optimization: detection and response to dynamic systems

Authors:
Xiaohui Hu;R. C. Eberhart
Affiliations:
Dept. of Biomed. Eng., Purdue Univ., West Lafayette, IN, USA;Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Chungli, Taiwan
Venue:
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Year:
2002

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Abstract

This paper introduces an adaptive PSO, which automatically tracks various changes in a dynamic system. Different environment detection and response techniques are tested on the parabolic and Rosenbrock benchmark functions, and re-randomization is introduced to respond to the dynamic changes. Performance on the benchmark functions with various severities is analyzed.