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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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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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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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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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