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Niche Particle Swarm Algorithm and Application Study

机译:利基粒子群算法和应用研究

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To the multi-modal function optimization problem, after analyzing characteristics and deficiencies of traditional niche genetic and niche clonal selection algorithms, it proposes a niche particle swarm algorithm (NPSA), which based on principle of particle swarm algorithm. By the convergence analysis and simulation experiments of four typical multi-modal functions, conclusions show that the NPSA has eximious simplicity and high efficiency.
机译:在分析传统利基遗传和利基克隆选择算法的分析特征和缺陷之后,提出了基于粒子群算法的原理的利基粒子群算法(NPSA)。通过四种典型多模态功能的收敛分析和仿真实验,结论表明,NPSA具有卓越的简单性和高效率。

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