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Third International Conference on International Information Hiding and Multimedia Signal Processing (IIH-MSP 2007)
The Distance-Guided Particle Swarm Optimizer with Dynamic Mutation
Kaohsiung, Taiwan
November 26-November 28
ISBN: 0-7695-2994-1
This paper presents a distance-guided particle swarm optimizer with dynamic mutation (PSODM). Two characteristics are proposed in the PSODM: distance-guided and dynamic mutation. The goal of these characteristics is to overcome premature convergence of the swarm and accelerating the convergence velocity. With distance-guided operation, some particles too intense can be separated, while with dynamic mutation operation, the particles mutated can find a better position more easily by effectively using the foregone experience. The PSODM is compared to other four types of improved PSO, and the experimental results show that the PSODM performances better on a six-function test suite with different dimensions.
Citation:
Chunhe Song, Hai Zhao, Wei Cai, Haohua Zhang, Ming Zhao, Wei Gao, Xuanjie Ning, Xudong Han, Peng Zhu, Jie Gao, Tianyu Qi, Hongyan Gong, "The Distance-Guided Particle Swarm Optimizer with Dynamic Mutation," iih-msp, vol. 2, pp.342-345, Third International Conference on International Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007
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