• It was combined grid theory with Particle Swarm Optimization (PSO).

    它是结合网格原理与粒子群算法(PSO)。

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  • Three improved particle swarm optimization algorithms are proposed.

    提出了三种改进的微粒群算法。

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  • A new self-adaptive particle swarm optimization (AMPSO) is presented.

    提出了一种新的自适应粒子群优化算法(AMPSO)。

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  • In this paper, we review ant colony algorithm and particle swarm optimization.

    本文讨论了群集智能的两种算法,蚁群智能与微粒群智能。

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  • Particle swarm Optimization (PSO) algorithm is based on swarm intelligence theory.

    粒子群优化(PSO)算法是基于群体智能理论的优化算法。

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  • Particle Swarm Optimization (PSO) is such a new artificial life computation method.

    粒子群优化(PSO)算法是其中较新的一种人工生命计算方法。

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  • This is the detailed particle swarm optimization code. We can learn from the reference.

    说明:这个是详细的粒子群算法代码。大家可以借鉴参考。

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  • Particle Swarm Optimization(PSO)algorithm is one of embranchments of swarm intelligence.

    粒子群优化算法是群体智能中一个新的分支。

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  • This paper proposes a particle swarm optimization based on local and global combined search.

    提出一种基于局部与全局搜索相结合的粒子群算法。

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  • Particle swarm optimization algorithm is a new and efficient evolutionary computation method.

    粒子群优化算法是一种新型、高效的进化计算方法。

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  • It demonstrates the practicability of particle swarm optimization method in slope engineering.

    论证了粒子群优化算法在边坡工程中的实用性。

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  • This paper proposes a new hybrid particle swarm optimization method for unit commitment problem.

    该文针对机组组合问题,提出了一种新的混合粒子群优化算法。

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  • A particle swarm optimization algorithm source code, this is a VB source languages, it is practical.

    一种粒子群优化算法源程序,这是一个VB语言编制的源程序,很实用。

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  • A discrete Particle Swarm Optimization (PSO) algorithm was presented for Job Shop scheduling problem.

    提出了用于解决作业车间调度问题的离散版粒子群算法。

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  • Particle swarm optimization is a kind of self-adaptive random algorithm based on group hunting strategy.

    粒子群优化算法是一种基于种群搜索策略的自适应随机算法。

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  • Particle Swarm Optimization (PSO) algorithm has existed premature convergence for multimodal search problems.

    粒子群优化(PSO)算法对于多峰搜索问题一直存在早熟收敛问题。

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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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  • The basic and typical algorithm of swarm intelligence is particle swarm optimization and Ant colony oprimation.

    目前,群智能理论研究领域有两种主要的算法:微粒群优化算法和蚁群优化算法。

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  • A particle swarm optimization algorithm for low voltage apparatus blanking part layout optimization was presented.

    提出了一种粒子群算法的低压电器冲裁件排样优化问题的求解方法。

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  • The particle swarm optimization speeded up the evolution process, and improved the convergence speed and accuracy.

    通过这种处理使得粒子群体的进化速度加快,从而提高了算法的收敛速度和精度。

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  • This paper proposes an asynchronous pattern from analyzing on the biologic character of particle swarm optimization.

    在研究粒子群优化算法生物特征的基础上,提出了粒子群优化算法的异步模式。

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  • Particle Swarm optimization (PSO) is an evolutionary computation technique and an optimization tool based on iteration.

    粒子群优化算法(PSO)是一种进化计算技术,是一种基于迭代的优化工具。

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  • Dissipative Particle Swarm Optimization (DPSO) is developed according to the self-organization of dissipative structure.

    耗散粒子群算法是一种结合自组织耗散理论的粒子群算法。

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  • The paper studies the mathematical model of the dynamic reactive optimization and the particle swarm optimization (PSO).

    论文研究了动态无功优化的数学模型和粒子群优化算法。

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  • A new boundary mutation strategy, the minimum boundary mutation, is presented based on Particle Swarm Optimization (PSO).

    提出一种新的粒子群算法(PSO)边界变异策略——最小值边界变异。

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  • Neural network based on particle swarm optimization algorithm applied in the soil moisture characteristic curve application.

    说明:基于粒子群的神经网络优化算法的应用,在土壤水分特征曲线中的应用。

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  • An adaptive particle swarm optimization (APSO) algorithm to solve the AGC unit dispatch problem in power system is proposed.

    提出了一种基于自适应型粒子群优化算法(APSO)的自动发电控制(agc)机组调配方案。

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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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  • Binary Particle Swarm Optimization (BPSO) is applied to solve the problem of distribution network reconfiguration in this paper.

    在优化算法上,采用了二进制粒子群算法来进行配电网重构最优方案的搜索。

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  • In this paper, we propose an accurate and robust algorithm for solving the point matching problem using particle swarm optimization.

    本文提出了一种基于粒子群优化算法的准确、快速和鲁棒性的点匹配方法。

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