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自适应多目标优化粒子群算法源程序,这是一个C语言编制的源程序,很实用.,Adaptive multi-objective particle swarm optimization algorithm source code, which is a C language source program, it is practical.
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Multiobjective Particle Swarm with Crowding Distance（多目标优化）-Multiobjective Particle Swarm with Crowding Distance (multi-objective optimization)
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一种计算全局拥挤距离多目标优化粒子群算法源程序,这是一个C语言编制的源程序,很实用.-A calculation of the overall crowding distance of multi-objective particle swarm optimization algorithm source code, which is a C language source program, it is practical.
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自编的多目标粒子群优化算法，可以运行哦。-Written and directed the multi-objective particle swarm optimization, you can run, oh.
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基于粒子群优化与灰色系统理论的多目标优化程序，很好用-Based on Particle Swarm Optimization and gray system theory of multi-objective optimization process, a very good use
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有关多目标粒子群算法的论文，想研究多目标的可以参考-Of the multi-objective particle swarm optimization of the papers, I would like to research objectives can refer to
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多AGENT粒子群算法，利用VC++实现-Multi-particle swarm optimization AGENT
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基于改进粒子群算法的多目标最优潮流计算
基于改进粒子群算法的多目标最优潮流计算-Particle Swarm Optimization Based on Improved Multi-objective Optimal Power Flow
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利用粒子群算法做的关于基于指数熵对数熵TSALLIS熵的多阈值的图像分割，内附无优化算法，可以做时间比较-Using particle swarm optimization to do on the entropy-based index of the number of entropy TSALLIS entropy of multi-threshold image segmentation, containing no optimization, can do more time
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量子粒子群优化算法，采用matlab编程，可实现快速优化多维函数，不易陷入局部最优值-Quantum particle swarm optimization algorithm, using matlab programming, multi-dimensional functions can be optimized for fast, easy to fall into local optimal value
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图像阈值分割，为确定图像分割的最佳阈值，基于粒子群优化算法提出了一种多阈值图像分割方法-Image segmentation, image segmentation to determine the optimal threshold value, based on particle swarm optimization algorithm proposes a multi-threshold image segmentation
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结合多智能体的学习、协调策略及粒子群算法，提出了一种基于多智能体粒子群优化的配电网络重构方法。该方法采用粒子群算法的拓扑结构来构建多智能体的体系结构，在多智能体系统中，每一个粒子作为一个智能体，通过与邻域的智能体竞争、合作。能够更快、更精确地收敛到全局最优解。粒子的更新规则减少了算法不可行解的产生，提高了算法效率。实验结果表明，该方法具有很高的搜索效率和寻优性能。-Combining the study of multi-agent technology，coordinating strateg
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多目标粒子群优化算法 多目标粒子群优化算法 多目标粒子群优化-Multi-objective particle swarm optimizationMulti-objective particle swarm optimizationMulti-objective particle swarm optimization
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基于Pareto支配的多目标粒子群算法程序，用matlab设计实现，已经通过多个公认测试函数测试，结果良好。
-Based on multi-objective particle swarm algorithm Pareto domination, using matlab design implementation, test function has been recognized by a number of tests with good results.
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粒子群算法，实现多维参数寻找最优解，含有代码说明-Particle swarm optimization, multi-dimensional parameters to find the optimal solution containing code Descr iption
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利用matlab编写的多目标粒子群算法可以很快得到最优值。-Use matlab write multi-objective particle swarm algorithm can quickly obtain optimal value.
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该资料为多目标粒子群求优MATLAB代码。改进的多目标粒子群算法，包括多个测试函数 对程序中的部分参数进行修改将更好地求解某些函数-The data is a multi object particle swarm optimization MATLAB code. The improved multi-objective particle swarm optimization algorithm, including the number of test functions in the pr
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多目标粒子群算法，在基本粒子群算法的基础上进行了改进，程序简单明了。-Multi-objective particle swarm algorithm based on particle swarm algorithm has been improved, the program is simple and straightforward.
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本文提出变量随机分解策略，增加关联变量分配到同组的概率，使得算法更好的保留变量间的关联性，并将合作协同进化框架融合到算法中，提出了基于大规模变量分解的多目标粒子群优化算法-In this paper, a stochastic variable decomposition strategy is proposed to increase the probability of assigning related variables to the same group, which makes th
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Decomposition Based Multi-Objective Particle Swarm Optimization
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