Dynamic guiding particle swarm optimization with embedded chaotic search for solving multidimensional problems |
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Authors: | Min-Yuan Cheng Kuo-Yu Huang Hung-Ming Chen |
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Institution: | 1.Department of Construction Engineering,National Taiwan University of Science and Technology,Taipei,Taiwan, ROC |
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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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Keywords: | |
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