搜索资源列表
paes
- 多目标遗传算法PESA程序的selection程序，网上没有PESA的完整程序，这个也是好不容易找到的。效果据说强于NSGA和SPE。-the selection function of PESA. It is said in some literature that the resutlts are good than NSGA and SPEA
MOEA-D-Continuous
- 多目标优化程序，国际顶级期刊IEEE EC 经典算法-multi-objective optimization algorithm presented in journal of IEEE trans
NSGA2
- 多目标进化算法，里面有html格式的源码说明！-Multi-objective evolutionary algorithm, which has the source code for html format descr iption!
mostats5
- 一个多目标进化算法C程序，很罕见，但是效果还好，比起PAES和NSGA还是有差距的。-MOEA
10[1].1.1.42.2856
- 一篇knowles的大作，对于学习多目标进化算法有着深层次的作用。-MOEA
SPEA2
- 强度PARETO算法，非常经典，也是一个学习多目标进化算法的经典作品。-MOEA
NSGA2
- 包含多目标遗传算法于深入了解NSGA及NAGA2算法有一定帮助-Includes multi-objective genetic algorithm NSGA and NAGA2 in-depth understanding of a certain algorithm to help
Standard_evolutionary_algorithm_design_and_analysi
- 为了有效检测多目标优化进化算法的性能，从3 个方面进行多目标优化测试问题的设计，即约束条件、最优解分布的均匀性、算 法逼近Pareto 最优前沿的难度，采用NSGA-Ⅱ算法对这些测试问题进行仿真实验，并将算法求得的最优解可视化。结果显示，测试问题能够有效检测算法在上述3 方面的性能。-In order to effectively detect the multi-objective optimization evolutionar
Tsinghua.Summer.NSGA
- 本人于清华大学所做纽约隧道工程管径优化问题，采用的是非支配排序遗传算法-the program was written when i was in Tsinghua University，to solve diameter optimization problems
Azhen
- azhen does some sort of transient stability in electric power systems. may be expanded to do pss esign
NSGAII
- NSGA II C++ CODES FOR MULTI-OBJECTIVE EVOLUTIONARY COMPUTATIONS
NSGA-III
- multi objective function genetic algorithm
nsga2code
- This the code for NSGA II in C Language-This is the code for NSGA II in C Language
PSO
- 智能优化算法,有粒子群算法（matlab）和多岛遗传算法（C语言）-PSO optimization algorithm and nsga-II optimization algorithm
NSGA-II
- NAGA-II matlab工具箱,用于实现遗传算法的只能优化问题-NAGA-II matlab toolbox，Can only be used to implement the genetic algorithm optimization
NSGA_II
- A NSGA-II Program in Matlab
NSGA-code-in-C-(for-Windows-and-Linux)-original.r
- Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization
jmetal.3.1.tar
- 外国人写的基于java的多目标优化源程序jMetal 3.1最新版，包括NSGA-II\SPEA2\MOPSO等。-jMetal 3.1 for multiobjective optimization
MOEA
- 多目标进化算法，思想主要是印度学者的NSGA-2 用于处理多目标实值优化问题-muliti-objective evolution
(DE)MOEA-NSGA-II
- nsga2与DE算法的结合算法,用于求解多目标优化问题-the combination of nsga2 algorithm with DE algorithm