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- W2328661628 abstract " Abstract—Particle swarm optimization (PSO) has been proposed to solve many optimization with good results. However, more efficient strategies are still needed to control the trade-off between exploitation and exploration in the search process for solving complex tasks. In this work, we propose a new PSO approach to overcome the search difficulties. Our approach focuses on two search strategies for multimodal functions. One is a cooperative strategy that controls search region and integrates partial and full dimension PSO search. The other is to control the velocity of the particles in an adaptive way, according to how they move in the space. Experiments have been conducted to evaluate the proposed approach, and the results show that our approach can perform better than other popular PSO variants." @default.
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- W2328661628 date "2012-07-01" @default.
- W2328661628 modified "2023-10-03" @default.
- W2328661628 title "A New Cooperative PSO Approach for the Optimization of Multimodal Functions" @default.
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