搜索资源列表
NSGA-II
- NSGAII,多目标优化领域，非控制遗传算法-NSGAII, the field of multi-objective optimization, non-control genetic algorithm
NSGA-II
- nsga2matlab源码，经测试绝对可用！-nsga2matlab source, has been tested and is absolutely available!
jnsga2-1.1-bin
- NSGA-II实现 非常好 NSGA-II实现 非常好-NSGA-II implement very good NSGA-II implement very good
NGPM_v1.4
- npgm v 1.4 NSGA II FOR CONSTRAINED PROBLEMS
NSGA-II
- 多目标无功优化算法，采用遗传算法，非支配排序，前推回代潮流计算-Multi-objective reactive power optimization
NSGA-II
- 本程序用于多目标优化的基因算法求解。可应用于不同领域的优化计算。-This code is Genetic Algorithm for Multi-objective optimization. It can be used to solve optimization problems in many areas.
multi
- 带等式约束的多目标遗传算法工具箱nondominated sorting genetic algorithmⅡ，NSGA-Ⅱ优化源代码-With equality constraint multi-objective genetic algorithm toolbox nondominated sorting genetic algorithm Ⅱ NSGA-II optimized source code
NSGA-II
- nsga2工具箱的一项源代码，并含有注释-a source code of nsga2 Toolbox, and contains notes
NSGA-II
- NSGA2的描述文档，希望能对大家有帮助。-NSGA2 descr iption document, I hope you can help.
MOEA-NSGA-II
- 遗传算法及其抄作使用，可以以应用于大部分的遗传算法-Genetic Algorithms
NSGA-II
- 这是一个用matlab编写的NSGA2标准程序，对初学多目标算法的人很有帮助。-This is a the NSGA2 standard procedures beginner multi-objective algorithm using matlab helpful.
selector
- 本文针对性的研究了多目标演化算法，实现了包括NSGA-II、SPEA2已有的经典多目标优化进化算法在多目标优化问题中的应用-Targeted research multi-objective evolutionary algorithm to achieve multi-objective optimization evolutionary algorithm NSGA-II, SPEA2 than classic multi-objective optimization problem
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.
NSGA-II
- nsga2 基于多目标的飞支配排序的中文翻译论文-nsga2 dominated sorting based multi-target flying Chinese translation papers
nsga2_best_searching_revised
- NSGA-II 算法，能够求解通用的最优化问题，全局搜索能力非常强。-NSGA-II code by c. It can run on Linux or Windows.
nsga2code
- NSGA-II的C语言算法实现，包含交叉、变异个步骤-NSGA-II algorithm in C language to achieve, including crossover and mutation steps
NSGA2 matlab
- this is a matlab code for a NSGA-II algorithm
nsga22
- % The NSGA-II multi-objective genetic algorithm w/ % simulated binary crossover (SBX) and polynomial mutation. %
NSGA-II
- 用来优化多目标问题的NSGA_II算法。-NSGA_II algorithm used to optimize multi-objective problem.
NSGA-II
- 针对现有改进和声搜索算法(IHS) 的不足，提出一种自适应和声粒子群搜索算法(AHSPSO).-For the purpose of avoiding the disadvantage of improved harmony search (IHS) algorithm, an adaptive harmony search-particle swarm optimization (AHSPSO) algorithm is presented.