• The global optimal solution is obtained based on chaotic particle swarm optimization algorithm.

    基于混沌粒子群优化算法对优化数学模型进行了求解。

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  • The improved particle swarm optimization algorithm is applied to path planning problem in 3-D space.

    将改进粒子群优化算法应用于三维空间路径规划。

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  • An improved particle swarm optimization algorithm embedded with greedy search for solution of unit commitment.

    求解机组组合问题的嵌入贪婪搜索机制的改进粒子群优化算法。

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  • Reactive power optimization of power system based on genetic algorithm and particle swarm optimization algorithm;

    粒子群优化方法是一种基于群体智能的新型演化计算技术。

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  • A rolling load distribution optimization algorithm of tandem cold mill was designed using particle swarm optimization algorithm.

    利用粒子群算法设计了一种冷连轧轧制负荷分配的优化方法。

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  • GUO w, CHEN G. Discrete particle swarm optimization algorithm and its application [m]. Beijing: Tsinghua University Press, 2012:5-6.

    郭文忠,陈国龙。离散粒子群优化算法及其应用[M]。北京:清华大学出版社,2012:5 - 6。

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  • The mutation particle swarm optimization algorithm is employed to determine the constitutive parameters and it is proved to present good performance.

    采用变异粒子群优化算法确定了模型参数,并取得了较好的效果。

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  • Based on the standard particle swarm optimization algorithm, a new algorithm using uniform design to determining parameters is presented in this paper.

    在标准粒子群算法的基础上,针对关键参数经验设置法的局限性,提出了一种新的粒子群算法。

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  • To optimize the damage probability, the particle swarm optimization algorithm (PSO) is adopted to optimize the system parameters, based on above models.

    以上述模型为基础,以毁伤概率为优化目标,采用微粒群算法(PSO)对该系统待优化的各参量进行综合优化。

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  • A pheromone-based discrete particle swarm optimization algorithm was proposed borrowing the idea of pheromone refresh mechanism of ant colony algorithm.

    借鉴蚁群算法的信息素机制,提出了一种基于信息素机制的离散粒子群算法。

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  • This algorithm can solve the problem of low precision and divergence of basic particle swarm optimization algorithm, so it has higher efficiency of search.

    该算法能克服基本微粒群优化算法精度较低,易发散的缺点,有较高的搜索效率。

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  • To improve the search quality of the standard PSO algorithm for solving high-dimensional function, a dynamic particle swarm optimization algorithm is proposed.

    针对基本粒子群优化算法对高维函数优化时搜索精度不高的缺陷,提出了一种动态粒子群优化算法。

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  • This paper incorporates chaos optimization algorithm into the PSO algorithm, and propose a new particle swarm optimization algorithm based on chaos searching (CPSO).

    文章把混沌优化搜索技术引入到P SO算法中,提出了基于混沌搜索的粒子群优化算法。

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  • In this paper, a modified particle swarm optimization algorithm is presented to solve knapsack problem, and the detailed realization of the algorithm is illustrated.

    本文提出了改进的粒子群算法求解背包问题,阐明了该算法求解背包问题的具体实现过程。

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  • This paper introduces the principles and characteristics of Particle Swarm Optimization algorithm, and puts forward an improved particle swarm optimization algorithm.

    介绍基本粒子群优化算法的原理、特点,并在此基础上提出了一种改进的粒子群算法。

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  • To solve the problem that particle swarm optimization algorithm is apt to trap in local optimum, a novel cooperative particle swarm optimization algorithm is proposed.

    为了解决基本粒子群算法不易跳出局部最优的问题,提出了一种协同粒子群优化算法。

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  • Because of this, a particle swarm optimization algorithm with the strategy of nonlinear decreasing inertia weight is proposed based on the standard particle swarm algorithm.

    结果提出一种非线性递减惯性权重策略的粒子群优化算法。

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  • In this paper, a new routing approach based on discrete particle swarm optimization algorithm is briefly discussed to obtain the optimum path between two nodes in the network.

    针对不同的网络实际条件,提出一种改进的离散粒子群算法来寻找网络中任意两个节点间的最优路由。

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  • On the basis of analyzing the particle swarm optimization and introducing the idea of sub-swarms, a particle swarm optimization algorithm with dynamic sub-swarms (DPSO) is proposed.

    在分析基本微粒群优化算法的基础上,引进分群思想,提出了一种动态分群的微粒群优化算法(DPSO)。

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  • In this paper, two sub-swarms substituting particle swarm optimization algorithm (TSSPSO) is proposed. The algorithm parameters are analyzed and the iteration equations are amended.

    提出一种两群替代微粒群优化算法(TSSPSO),并对算法参数进行分析和对算法方程进行修正。

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  • The particle swarm optimization algorithm (PSO) applied to reactive power optimization in power system is introduced in the paper, and the detailed implementing procedure is presented.

    将粒子群优化算法(PSO)应用到电力系统无功优化问题的研究中,给出了具体的实施流程。

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  • An enumeration method was used to get the optimal splitting of the candidate branches. A modified discrete particle swarm optimization algorithm (MDPSO) was used to get the final strategy.

    根据限流措施优化配置问题的特点,提出先对候选可开断支路采用枚举法求解支路开断的优化方案,再采用改进离散粒子群算法(MDPSO)求解综合限流方案。

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  • To solve hydrothermal power system resource short-term optimization scheduling problem, this paper proposed a novel scheduling solution based on chaos particle swarm optimization algorithm.

    为了有效地解决水火电力系统资源短期优化调度问题,提出了一种基于混沌粒子群算法的调度方案。

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  • At the same time, a corresponding particle swarm optimization algorithm is presented to solve the optimization problem of integer resource allocation. This algorithm is easy to programming.

    同时,针对整数资源分配这类组合优化问题,提出了相应的离散粒子群算法。

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  • Aiming at the stagnation exists in the cooperative particle swarm optimization, presents a new kind of the cooperative particle swarm optimization algorithm based on particles spatial extension.

    针对协同微粒群优化存在的停滞现象,提出了一种新的基于粒子空间扩展的协同微粒群优化算法。

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  • Aiming at the stagnation exists in the cooperative particle swarm optimization, presents a new kind of the cooperative particle swarm optimization algorithm based on particles spatial extension.

    针对协同微粒群优化存在的停滞现象,提出了一种新的基于粒子空间扩展的协同微粒群优化算法。

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