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aco
- mop算法，蚁群算法，多目标优化，基于c-mop
NSGA-II
- 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.
nsga2code
- 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
yichuan
- 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
GA-vrp
- 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
3
- 目前的多目标优化算法有很多，Kalyanmoy Deb 的 NSGA-II（Nondominated Sorting Genetic Algorithm II，带精英策略的快速非支配排序遗传算法）无疑是其中应用最为广泛也是最为成功的一种。MATLAB 自带的 gamultiobj 函数所采用的算法，就是基于 NSGA-II 改进的一种多目标优化算法（a variant of NSGA-II）。gamultiobj 函数的出现，为在 MATLAB 平台下解决多目标优化问题提供了良好的途径。gamu
遗传算法多目标优化
- 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