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[Other resourceSGALABbugfix

Description: 多目标遗传算法程序 to run Demo files, is to run SGALAB_demo_*.m what s new: 1) Multiple-Objective GAs VEGA NSGA NPGA MOGA 2) More TSP mutation and Crossover methods PMX OX CX EAX Boolmatrix 3) More selection methods Truncation tornament stochastic 4) mutation methods binary single point int/real single point 5) encoding/decoding methods binary integer/real messy gray DNA permuation to fix the plot bugs for 4001 , download this file and replace old files.
Platform: | Size: 80294 | Author: 馨竹 | Hits:

[Other非支配排序遗传算法

Description: NSGA-II 相对于NSGA而言,NSGA—II具有以下优点:1)提出新的基于分级 的快速非胜出排序算法,将计算复杂度由 降到 ,其中: 表示目标函数的数目, 表示种群中个体的数目;2)为了标定分级快速非胜出排序后同级中不同元素的适值,也为使准 域中的元素能扩展到整个 域,并尽可能均匀遍布,文献[7]提出了拥挤距离的概念,采用拥挤距离比较算子代替需要计算复杂的共享参数的适值共享方法;3)引入了保优机制,扩大了采样空间,经选择后参加繁殖的个体所产生的后代同其父代个体共同竞争来产生下一代种群,因此有利于保持优良的个体,迅速提高种群的整体水平
Platform: | Size: 20114 | Author: jiangxudong226@126.com | Hits:

[matlabNSGA2

Description: 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 description!
Platform: | Size: 34816 | Author: Ray | Hits:

[AI-NN-PRMOEA

Description: 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
Platform: | Size: 1074176 | Author: zhangshuai | Hits:

[Data structsNSGA-II

Description: 相对于NSGA而言,NSGA—II具有以下优点:1)提出新的基于分级 的快速非胜出排序算法,将计算复杂度由 降到 ,其中: 表示目标函数的数目, 表示种群中个体的数目;2)为了标定分级快速非胜出排序后同级中不同元素的适值,也为使准 域中的元素能扩展到整个 域,并尽可能均匀遍布,文献[7]提出了拥挤距离的概念,采用拥挤距离比较算子代替需要计算复杂的共享参数的适值共享方法;3)引入了保优机制,扩大了采样空间,经选择后参加繁殖的个体所产生的后代同其父代个体共同竞争来产生下一代种群,因此有利于保持优良的个体,迅速提高种群的整体水平-Relative to the NSGA is concerned, NSGA-II has the following advantages: 1) put forward based on the classification of the new fast won the sorting algorithms, will computational complexity by to, among them: said the number of the objective function, said the number of individuals in a population 2) to calibrate the order quickly won after classification in the different elements ShiZhi, also to make accurate domain elements can spread to the whole field, and even in as much as possible, the literature [7] put forward the concept of crowded distance, the crowded distance is operator instead of need to calculate the parameters of the complex sharing ShiZhi sharing methods 3) introduced the optimal mechanisms, expanding the sampling space, the choice of the individual in breeding produced with his father generation to generation individual competition to produce the next generation of population, so to keep the fine individual, rapidly improve the whole level of population
Platform: | Size: 20480 | Author: 姜徐东 | Hits:

[Otherdimopoulos05.pdf

Description: nsga-2的一个应用案例,是国外的一个人写的,很有意义-nsga-2, a case study of a foreign person to write meaningful
Platform: | Size: 181248 | Author: 王才 | Hits:

[Windows DevelopNNNSGA-IIS

Description: NSGA-2 一种非常强大的多目标遗传算法,本人已经把它调通-NSGA-2 a very strong multi-objective genetic algorithm, I have adjusted through
Platform: | Size: 384000 | Author: jw | Hits:

[transportation applicationsnsga2code_cultural

Description: cultural algorithm 在NSGA-2的基础上,加入了文化算法,提高了收敛速度-cultural algorithm
Platform: | Size: 308224 | Author: buehenring | Hits:

[source in ebookNSGA_All

Description: NSGA-2 全部程序,你能够学到很多有用的知识,希望能够帮助到大家-NSGA-2 all the procedures, you can learn a lot of useful knowledge, hoping to help to everyone
Platform: | Size: 21504 | Author: 彭闯 | Hits:

[OtherMOEAFramework-2.4-Manual

Description: MOEAFramework JAVA函数库的英文版用户使用手册,用于解决多目标优化问题-The MOEA Framework is a free and op en source Java library for developing and exp erimenting with multiob jective evolutionary algorithms (MOEAs) and other general-purp os e optimization algorithms. A numb er of algorithms are provided out-of-the-b ox, including NSGA-I I , -MOEA, GDE3 and MOEA/D. In addition, the MOEA Framework provides the tools necessary to rapidly design, develop, and statistically test optimization algorithms. This user manual is divided into the following three parts:
Platform: | Size: 1145856 | Author: | Hits:

[Software EngineeringNSGA-2

Description: 多目标优化的遗传算法,来自网络,大家参考学习。-This is a program to search the global mutiple objectives using the NSGAII algorithm proposed by Deb.
Platform: | Size: 35840 | Author: Runner | Hits:

[matlabNSGA-2

Description: NSGA2算法,求解多目标优化函数的典型算法。-NSGA2 algorithm, typical algorithms for solving multi-objective optimization function.
Platform: | Size: 9216 | Author: 李泽 | Hits:

[AlgorithmNSGA2-MATLAB-Codes

Description: nsga-2 实现多目标优化的算例利用简单的二进制编码进行遗传变异运算-nsga-2 An example of multi objective optimization
Platform: | Size: 6144 | Author: 钟子期 | Hits:

[OtherNSGA_Test

Description: NSGA-II版本为C++的示例代码,平台VS2013,希望大家一起学习-NSGA-II version C++ sample code, platform VS2013, I hope you learn together
Platform: | Size: 812032 | Author: MEI | Hits:

[matlabNSGA2 算法

Description: 多目标优化算法 人工智能优化算法 多任务优化算法(multi-objective optimization)
Platform: | Size: 5120 | Author: nwpuls | Hits:

[Mathimatics-Numerical algorithmsNSGA2 ——FSP

Description: 遗传算法2 求解柔性作业车间 调度问题 matlab 编码(use NSGA II to solve the flexible job shop scheduling problem)
Platform: | Size: 9216 | Author: kopton | Hits:

[Documentsmulti-objective power flow optimization

Description: 构建了含VSC-HVDC的交直流系统多目标最优潮流模型;针对此模型连续变量和离散变量共存的特点,提出了内点法和NSGA2算法相结合的交替求解算法,可获得多个Pareto最优解,并具有较高的计算效率(Considering the coexistence of continuous and discrete variables in this model,an alternative solution method based on the interior point method and NSGA-2 algorithm is proposed to solve this model,the proposed method can obtain multiple Pareto optimal solutions and possess higher computational efficiency.)
Platform: | Size: 312320 | Author: 阿飞之父 | Hits:

[matlabnsga-2

Description: 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 improving the precision of the optimization results; using the crowding degree and the crowding degree comparison operator.)
Platform: | Size: 5120 | Author: 存在在我的 | Hits:
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