搜索资源列表
mopsoGECCO
- Multiobjective Particle Swarm with Crowding Distance（多目标优化）-Multiobjective Particle Swarm with Crowding Distance (multi-objective optimization)
mopsowithcd
- 一种计算全局拥挤距离多目标优化粒子群算法源程序,这是一个C语言编制的源程序,很实用.-A calculation of the overall crowding distance of multi-objective particle swarm optimization algorithm source code, which is a C language source program, it is practical.
nicheSGA
- 用matlab编写的一个经典的基于排挤机制的小生境遗传算法程序 -Matlab prepared with a classical crowding out mechanism based on niche genetic algorithm procedure
mopsocd
- 这是一个基于距离的多目标粒子群优化算法C语言实现-This is an implementation of MOPSO-CD,a multiobjective particle swarm optimization algorithm using crowding distance
mopsocd05b
- Multi objective Particle Swarm with Crowding Distance by P. C. Naval in C language
multi-ctp1
- 一个基于阈值的粒子比较准则，用于处理多目标约束优化问题,该准则可以保留一部分序值较小且约束违反度在允许范围内的不可行解微粒,从而达到由不可行解向可行解进化的目的；一个新的拥挤度函数,使得位于稀疏区域和Pareto前沿边界附近的点有较大的拥挤度函数值,从而被选择上的概率也较大 从而构成解决多目标约束优化问题的混合粒子群算法。-A comparison based on the threshold criteria for the particle to handle multi-objective
niche-genetic-algorithm-program1
- 一个经典的基于排挤机制的小生境遗传算法程序-Mechanism based on a classic niche crowding genetic algorithm program
multimodal-ga
- multiobjective Genetic algorithm with crowding distance
replace_chromosome
- This function replaces the chromosomes based on rank and crowding distance
A-genetic-algorithm
- 一个经典的基于排挤机制的小生境遗传算法程序一 个经典的基于排挤机制的小生境遗传算法程序-A classic a classic niche genetic algorithm based on crowding mechanism a classic based the crowding mechanism niche genetic algorithm based on crowding mechanism niche genetic algorithm
ecological-multimodal-
- 提出了基于搜索空间聚类分析的排挤小生态遗传算法(cc)-Proposed crowding niche genetic algorithm based on cluster analysis of the search space (cc)
nsga2
- 多目标遗传算法 NSGA2 包括非支配排序和拥挤度计算等核心程序 亲测可运行 放心使用下载-Multi-Objective Genetic Algorithm NSGA2 Including non-dominated sorting and crowding calculation kernel Ease of use pro-test can be run download
nsga2.tar
- 这段代码描述多目标遗传算法NSGAII算法的实现，抓要包含三部分：Non-dominated sort， Crowding distance assignment， the selection process来找到pareto-front-The basic operations being performed and the worst case complexities associated with are as follows: Multi-objective evolutionar
itod-mechanism
- 一个经典的基于排挤机制的小生境遗传算法程序 不错的 很好-A classic the niche genetic algorithm based on crowding mechanism of good is very good
vegy__yhe
- 一个经典的基于排挤机制的小生境遗传算法程序 不错的 很好-A classic the niche genetic algorithm based on crowding mechanism of good is very good
she
- 一个经典的基于排挤机制的小生境遗传算法程序 不错的 很好-A classic the niche genetic algorithm based on crowding mechanism of good is very good
35738646DE
- 多目标DE算法，子程序有拥挤距离计算，非支配解排序，模型等，多学习多目标算法很有帮助-multi-objective DE algorithm差分进化算法(Multi objective DE algorithm, subroutines have crowding distance calculation, non dominated sorting, model, etc., multi learning multi-objective algorithm is very helpful,
gamultiobj
- 基于遗传算法的多目标优化算法，包括支配于非劣，序值与前端，拥挤距离，最优前端个体系数等概念(The multi-objective optimization algorithm based on genetic algorithm includes the concepts of dominating and non inferiority,rank and front , crowding distance and ParetoFraction)
178969
- 一个经典的基于排挤机制的小生境遗传算法程序 不错的 很好(A classic the niche genetic algorithm based on crowding mechanism of good is very good)
nsga-2
- 快速非支配排序算法，引进精英策略，保证某些优良的种群个体在进化过程中不会被丢弃，从而提高了优化结果的精度;采用拥挤度和拥挤度比较算子。(The fast non dominated sorting algorithm introduces the elite strategy to ensure that some excellent individual individuals will not be discarded during the evolution process, thus i