搜索资源列表
MOEA-NSGA-II
- 多目标优化进化算法目前公认效果收敛性最好的算法NSGA2源码，内有多目标算法的工具箱，对实现其他多目标优化算法很有帮助
MOEA-NSGA-II.rar
- NSGA-II多目标优化的matlab代码,NSGA-II multi-objective optimization matlab code
MOEA-NSGA-II.zip
- 多目标的经典遗传算法MOEA-NSGA-II，采用平衡集与非支配排序方法,Classic multi-objective genetic algorithm MOEA-NSGA-II, using the non-dominated sorting method
MOEA-NSGA-II
- NSGA算法是遗传算法在多目标优化上的实现，NSGA-2则是NSGA算法的改进算法，该程序包能实现NSGA-2的多目标优化-NSGA algorithm is a genetic algorithm on a multi-objective optimization, NSGA-2 is the improved algorithm NSGA algorithm, the package can achieve multi-objective optimization NSGA-2
PICEAgMATLAB
- PICEA-g是一种有效智能多目标优化算法，算法性能，特别是在高维多目标优化问题上，优于传统的NSGA-II以及MOEA/D算法。并且算法无需额外的参数设置，简单易用。 -PICEA-g is a competitive multi/many-objective optimizer. Its performance is better or comparable to the state-of-the-art algorithms such as NSGA-II and MOEA/D on
MOEA-NSGA-II
- NSGA (No n- Do mina te d So r ting in Ge ne tic Alg o r ithms [5 ]) is a p o pula r no n-do mina tio n ba s e d g e ne tic a lg o r ithm fo r multi- o b je c tive o ptimiz a tio n. I t is a ve r y e ff e c tive a lg o r ithm but ha s b e e n g