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  improved poly-particle swarm optimization algorithm

改进多粒子群算法

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  • improved poly-particle swarm optimization algorithm

·2,447,543篇论文数据,部分数据来源于NoteExpress

双语例句

  • 为了克服粒子算法求解多峰函数时极易陷入局部最优解的缺陷,提出一种基于自适应动态邻居广义学习改进粒子群算法(ADPSO)。

    As Particle Swarm Optimization (PSO) may easily get trapped in a local optimum, an improved PSO based on adaptive dynamic neighborhood and comprehensive learning named ADPSO was proposed.

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  • 本文提出用于求解多资源约束生产批量计划问题改进二进制粒子算法阐明了算法具体实现过程

    In this paper, the improved particle swarm optimization algorithm for the single level capacitated dynamic lot-sizing problem is presented. The detailed realization of the algorithm is illustrated.

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  • 实验证明采用这种改进粒子算法解决多约束背包问题切实可行, 搜索效率较高

    The result of this experiment shows that this particle swarm algorithm is available and efficient in solving multi-c

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