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GS_CH_MOPSO_Grey
- 多目标非线性约束的粒子群算法，采用灰度理论，混沌理论，动态惩罚函数，可针对任何复杂函数进行优化，效果很好-Nonlinear constrained multi-objective particle swarm algorithm, using gray theory, chaos theory, dynamic penalty function can be optimized for any complex function, the effect is very good
pso-constraints-multi
- 多目标粒子群算法，最优的解决方案，使用一个外部文件管理，拥塞机制筛选，灰色设计验过滤。-Multi-objective particle swarm algorithm, the optimal solution using an external file management, congestion mechanism screening, gray design posteriori filtering.
RM-MEDA-Matlab-v0.1
- 多目标优化算法，多目标优化算法多目标优化算法多目标优化算法多目标优化算法多目标优化算法非常好！-Multi-objective optimization algorithm, multi-objective optimization algorithm for multi-objective optimization algorithm for multi-objective optimization algorithm for multi-objective optimization algo
ypea122-spea2
- 亲测可用，matlab多目标优化算法spea2的实现。(The implementation of the MATLAB multi-objective optimization algorithm SPEA2 is available.)
GAmatlab
- 多目标优化，遗传算法，适合于研究多目标优化(matlab genetic algorithm for multi-objective optimization, dual-objective optimization)
粒子群多目标-程序
- 一个粒子群多目标算法，带有权重自适应，可以画出相应的pareto前沿(A particle swarm multi-objective algorithm, with weight adaptive, can draw corresponding Pareto frontiers.)
人工免疫多目标程序
- 一个人工免疫的多目标程序，可以绘制相应的pareto前沿(A multi-objective program of artificial immune system can draw corresponding Pareto frontiers)
ML-KELM1.0
- 多核极限学习器，是一种前馈神经网络，能逼近任意连续目标函数或分类任务重的任何复杂决策边界(Multi-kernel limit learner is a feedforward neural network, which can approach any complex decision boundary of any continuous objective function or classification task)