2410 領域適応型PSOによる複数の最適解探索(OS6-1 近似最適化(I))

概要

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One of the aims by the population based optimization techniques is to find a global minimum. In this paper, The Adaptive Range Particle Swarm Optimization (ARPSO) to find multiple optima is proposed. The active search domain range in the ARPSO is only one, however, the proposed approach has many search domain ranges to find multiple optima. Initially, many the search domain ranges are generated by the paired particles, and the procedure of the ARPSO is performed. Many search domain ranges are sometimes integrated through the search process. The detail procedure to integrate the search domain ranges is also explained in this paper. It is possible to find multiple optima with high accuracy by the proposed approach. The validity of proposed method is examined through numerical examples.
社団法人日本機械学会の論文
2007-10-30