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m-particle-swarm-optimization
- 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.
discrete-mopso
- 离散多目标粒子群优化算法，解决含约束条件的多目标离散问题-discrete mopso
mopso
- 含有两个适应度函数的多目标粒子群优化算法，可根据需要进行改变-Multi-objective particle swarm containing two fitness function optimization algorithm, can be changed as needed
MOPSO
- 多目标粒子群优化，是一种基于种群的进化算法，每次迭代能产生出一组非劣解，经过适当的扩展可适于求解多目标优化问题。-Multi-objective particle swarm optimization, evolutionary algorithm is a population-based, each iteration produces a set of non-dominated solutions, through appropriate extension may be adapted
mymopso
- 用多目标粒子群优化来求解多目标优化问题，该方法可求解各种多目标问题。程序内包含多种测试函数，和适应度函数求解程序及目标函数和约束函数的具体程序说明。-Multi-objective particle swarm optimization to solve the multi-objective optimization problem which can be solved a variety of multi-objective problem. Specific procedures wit
pos
- 基于MATLAB的带压缩系数的多目标粒子群优化算法，不同于基本多目标粒子群算法带有权重系数，其鲁棒性和收敛性更好-Multi-objective optimization algorithm based on particle swarm MATLAB with the compression factor, unlike the basic multi-objective Particle Swarm Optimization with the weight coefficients, its
IM-MOPSO
- 一种改善的多目标粒子群算法，包括了多个实例的实验！-A improved multi-objective particle swarm optimization, including several instaces.
MOPSO
- 用Matlab实现多目标粒子群算法（MOPSO），该算法是以结构化的方式实现，或许对你的研究项目有所帮助。-Using Matlab to achieve a multi objective particle swarm optimization algorithm (MOPSO), the algorithm is structured in a way to achieve, perhaps to help your research projects.
MPSO
- 适合初学者学习matlab编程的多目标粒子群算法，可以适当更改成为单目标粒子群算法-Matlab programming for beginners to learn the multi objective particle swarm optimization algorithm can be modified to become a single objective particle swarm algorithm
Particle-Swarm-Optimization
- 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
MOPSO-MATLAB
- 多目标粒子群算法是模拟动物群体的社会行为，找到一个最优设计点的过程比作这些生物的觅食活动。换句话说，这些例子在设计空间中寻找最好的位置。-Multi-objective Particle Swarm social behavior is simulated animal groups, a process to find the optimal design point likened foraging activity of these organisms. In other words, t
PSO-MATLAB
- 一个例子的最佳位置和沿着当前速度和惯性方向的邻元素被用来决定下一个例子的位子。多目标粒子群的优化算法简介如下-An example of the best location and along the current speed and direction of inertia neighbors are used to determine the next example of the seat. Introduction to multi-objective optimization alg
mopso
- 可靠性算法,利用多目标粒子群算法对多目标值进行运算-Reliability algorithm, multi-objective particle swarm optimization algorithm for multi-target value operation
MOPSO-based-on-adaptive-mutaiton
- 基于自适应变异的对多目标粒子群算法的改进算法-Based on the multi-objective particle swarm algorithm for improved algorithm of adaptive mutation
MoPSO
- 多目标粒子群算法,解决多目标问题，实用性比较广，测试可以运行-Multi-objective particle swarm optimization, multi-objective problem solving, practical and broad, tests can be run
matlabPSO
- 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
Multi-objective
- 多目标粒子群算法是将多目标算法和粒子群算法结合起来的一种优化算法-Multi-objective Particle Swarm Optimization is an optimization algorithm combining multi-objective algorithm and particle swarm optimization
1-s2.0-S0925231212007722-main
- 不确定环境下的机器人路径规划的多目标粒子群优化算法-Robot path planning in uncertain environment using multi-objective particle swarm optimization
MOPSO
- 多目标粒子群算法，模拟传感器布置的，又需要的小盆友可以过来拿-MOPSO algorithm
PSO
- 基于粒子群算法的多目标搜索算法，本案例采用多目标粒子群算法求解多目标背包问题。-Multiple target search algorithm based on particle swarm optimization (pso) algorithm, this case USES the multi-objective particle swarm optimization (pso) algorithm to solve multi-objective knapsack problem.