Dynamic guiding particle swarm optimization with embedded chaotic search for solving multidimensional problems

Dynamic guiding particle swarm optimization with embedded chaotic search for solving multidimensional problems

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Article ID: iaor20123493
Volume: 6
Issue: 4
Start Page Number: 719
End Page Number: 729
Publication Date: Apr 2012
Journal: Optimization Letters
Authors: , ,
Keywords: heuristics
Abstract:

The proposed approach incorporated dynamic guiding approach and chaotic search procedure into particle swarm optimization (PSO), named DCPSO. Chaotic search, enjoyed ergodicity, irregularity and pseudo‐randomness in PSO, would refine global best position evidently. And, dynamic guiding approach with fluctuating property would easily conduct unpredictable migrations for PSO to break away from evolutionary stagnation. The experiment reports indicated that the proposed DCPSO approach could improve the evolution performance significantly, and present the superiority in solving complex multidimensional problems.

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