Title: Particle swarm optimization based on rotate surface transformation
Abstract: Aimed at particle swarm optimization(PSO) algorithm being easily trapped into local minima value in multimodal function,a rotating surface transformation(RST) method was proposed.The optimal function was mapped onto the homeomorphism surface by RST method,and the current local minima point was transformed into the global maximum point without changing the optimal function values under current local minima point.When PSO was trapped into local minima point,proper transforming parameters were selected according to concrete optimal function,and the global optimum resolution was realized by executing RST.Four benchmark functions were tested using this method.Experimental results show that compared with two conventional PSO at the same iterations for high dimension function,the proposed method converges faster and is more stable.
Publication Year: 2005
Publication Date: 2005-01-01
Language: en
Type: article
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Cited By Count: 3
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