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A Cooperative Co-evolutionary Particle Swarm Optimization Algorithm Based on Niche Sharing Scheme for Function Optimization

机译:基于小生境共享方案的协同协同进化粒子群优化算法

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This paper proposes a novel cooperative co-evolutionary particle swarm optimization algorithm combined with niche sharing scheme to solve function optimization problem. As the core of this algorithm, niche sharing scheme strengthens diversity of population and improves the quality of individuals. In the experiment, eight benchmark functions are selected to evaluate the performance of the novel algorithm. The simulation shows that NCPSO algorithm finds the better solutions for every function than that by PSO and CPSO. Therefore, NCPSO is a more effective and efficient algorithm in comparison with PSO and CPSO.
机译:提出了一种结合小生境共享方案的协同协同进化粒子群优化算法来解决函数优化问题。生态位共享方案作为该算法的核心,可以增强种群的多样性,提高个体的素质。在实验中,选择了八个基准函数来评估新算法的性能。仿真表明,与PSO和CPSO相比,NCPSO算法能够为每个功能找到更好的解决方案。因此,与PSO和CPSO相比,NCPSO是一种更加有效和高效的算法。

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