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基于进化算法的多目标优化,以matlab程式所寫成,請大家參考參考-evolutionary algorithm based on the multi-objective optimization to written Matlab program, please refer to reference
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nsga2_c多目标优化算法：NSGA-II算法-nsga2_c multi-objective optimization algorithm: NSGA-II algorithm
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多目标优化程序，国际顶级期刊IEEE EC 经典算法-multi-objective optimization algorithm presented in journal of IEEE trans
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多目标规划优化问题
Matlab中常用于求解多目标达到问题的函数为fgoalattain-Multi-objective planning optimization problem Matlab is commonly used to achieve problem solving multi-objective function fgoalattain
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matlab解决多参数优化问题，已经调通过，可以直接使用。并且目标函数有微分构成。-matlab to solve the multi-parameter optimization problems, have been transferred through, can be used directly. And the objective function differential constitute.
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运行数据是吸纳粒子群算法的精华，是先多目标优化。-Run data to absorb the essence of the particle swarm algorithm is the first multi-objective optimization.
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压缩包包括5个群智能算法的程序，即PSOGA-PID优化，PSO的多目标perota优化问题，基于TSP-PSO算法，遗传算法求解TSP问题，遗传算法求解TSP问题-Compression package includes five swarm intelligence algorithm procedures, namely PSOGA-PID optimization, PSO perota multi-objective optimization problem, TSP-PSO algo
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Recently more research works are focused on multi-objective particle swarm optimization
algorithm (MOPSO) due to its ability of global and local search for solving multi-objective
optimization problems (MOOPs) however, most of existing MOPSOs can
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一个关于多目标优化算法的程序，经典遗传算法求解多目标优化问题源码-Classical genetic algorithm for solving multi-objective optimization problem source
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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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多目标优化wenti vsdbasvdsbsbd-multi-objective optimization
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利用MATLAB编辑的多目标优化问题的理想有效解，对学习MATLAB有用-The use of multi-objective optimization problem MATLAB editor effective solution ideal for learning MATLAB helpful
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提出了一种新的多目标粒子群优化(MOPSO)算法，该算法采用自适应网格方法来估计非劣解集中粒子的密度信息、平衡全局和局
部搜索能力的 Pareto 最优解的搜索机制、删除品质差的多余粒子的 Archive 集的修剪技术。通过对三峡梯级多目标优化调度问题的计算，
表明该算法是求解大规模复杂多目标优化问题的一种有效手段。-A new multi-objective particle swarm optimization(MOPSO) is proposed. The proposed alg
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基于神经网络与遗传算法的多目标函数优化求解程序-Multi objective function is based on neural networks and genetic algorithm optimization solver
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运输成本、货损成本、时间成本等的配送成本最小化和以模糊时间窗进行量化的客户满意度最大化的多目标优化模型，采用改进遗传算法求解带模糊时间窗冷链配送问题。-A multi-objective optimization model to minimize the cost of transport and distribution costs, damage costs, costs of time and to quantify fuzzy time window to maximize custo
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多目标优化排序选择法主程序，算法的多目标程序(Multi objective optimization sorting selection method, the main program, the algorithm of multi-objective program)
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采用多目标粒子群算法求解多目标背包问题 问题：假设存在五类物品，每类物品又包含四种具体物品，要求从五类物品中分别选择一种放入背包，使得背包总价值最大，总体积最小，总质量不超过92kg(The problem is solved by multi objective particle swarm optimization algorithm, multi-objective knapsack problem: suppose there are five categories of goods,
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这是遗传算法多目标优化程序。虽然是基础的GA算法程序，但是注释清晰，可以修改目标函数运行，也可以在此基础上进行算法优化(This is a multi-objective optimization program of genetic algorithm. Although it is the basic GA algorithm program, but the annotation is clear, it can modify the operation of the objective
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