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[Algorithm] DeJong_FunF1_F5 DL : 0: De Jong函数F1－F5的java源码，包括编码解码和函数测试能功能，函数形式。De Jong函数是常用的标准优化函数。-function F1-F5 the java source code, including the coding and decoding function testing functions, function form. De Jong function is commonly used in the optimization function.
Date : 2025-12-20 Size : 1kb User : 王远
[Algorithm] GA DL : 0: 一个关于遗传算法的源代码示例，可用于修改称为实现多个目的的源代码。-A genetic algorithm on the source code examples, can be used to realize a number of purposes known as the modified source code.
Date : 2025-12-20 Size : 38kb User : 刘晓炜
[Algorithm] GA DL : 0: 遗传算法是近来较为热门的结构优化方法,C源代码-Genetic algorithm is more popular in recent structural optimization methods, C source code
Date : 2025-12-20 Size : 3kb User : 郝晓
[Algorithm] ga DL : 0: Genetic Algorithmn FORTRAN source code. Good start for knowing and studying
Date : 2025-12-20 Size : 31kb User : shamsul
[Algorithm] SGA DL : 0: 遗传算法是在生物进化的启示下得到的一种搜索和自适应算法。此程序包为GA算法的源代码。-Genetic algorithms are inspired by biological evolution to be a search and adaptive algorithm. This package for the GA algorithm source code.
Date : 2025-12-20 Size : 287kb User : bipengjiang
[Algorithm] Knapsack-problem-based-on-GA DL : 0: 本文件含论文及源代码。论文首先介绍了基本遗传算法的基本原理、特点及其基本实现技术，接着针对背包问题，论述了遗传算法在编码表示和遗传算子（包括选择算子、交叉算子变异算子这三种算子）等方面的应用情况。并且结合背包问题实例，给出了具体的编码方法，运行参数，群体大小，最大迭代次数，以及合适的遗传算子。最后，简单说明了遗传算法在求解背包问题中的应用并对遗传算法解决背包问题的前景提出了展望。-The file containing the papers and source code. The paper first introduces the basic principles of the basic genetic algorithm, the characteristics of its basic implementation techniques, and then for the knapsack problem, discusses the genetic algorithm coded representation and genetic operators (including selection operator, crossover operator mutation operator three count sub), and other aspects of the application. And the combination of an instance of the knapsack problem, given specific encoding method, operating parameters, population size, maximum number of iterations, and appropriate genetic operators. Finally, a brief description of the genetic algorithm Knapsack problem and genetic algorithm to solve the knapsack problem prospects prospect.
Date : 2025-12-20 Size : 411kb User : 李海波
[Algorithm] GA--CSharp DL : 0: 一个利用C#语言实现的遗传算法源程序，通过对花朵的演化说明遗传算法的原理-The principle of a genetic algorithm source code using the C# language, genetic algorithm is described through the evolution of flowers
Date : 2025-12-20 Size : 1kb User : 陈天栋
[Algorithm] GA DL : 0: 遗传算法求解TSP问题，包括源代码和测试数据。-Genetic algorithm for TSP, including source code and test data.
Date : 2025-12-20 Size : 3kb User : 小麦
[Algorithm] GA_test DL : 0: 遗传算法经典问题，GA求公式最优解，个人手写源代码。公式为f(x1,x2) = 21.5 + x1*sin(4*Pi*x1) + x2*sin(20*Pi*x2)。最优解达38.850252-Classical genetic algorithm problem, GA seeking the optimal solution formula, personal hand-written source code. The formula for f (x1, x2) = 21.5+ x1* sin (4* Pi* x1)+ x2* sin (20* Pi* x2). Optimal solution of 38.850252
Date : 2025-12-20 Size : 476kb User : 周国乔
[Algorithm] Metaheuristic-Clustering---MATLAB-Code DL : 0: Meta-heuristic clustering: Source Code of: GA: Genetic Algorithm PSO: Particles Swram Optimization HS: Harmony Search DE: Differential Evolution
Date : 2025-12-20 Size : 12kb User : sepideh sal
[Algorithm] CEC2014-GA(Rev) DL : 0: This a software package with matlab source code for evolutionary algorithm. The algorithm combine GA with adaptive differential algorithm to solve the optimal problems provided in CEC2014. And the results show it has good performance. -This is a software package with matlab source code for evolutionary algorithm. The algorithm combine GA with adaptive differential algorithm to solve the optimal problems provided in CEC2014. And the results show it has good performance.
Date : 2025-12-20 Size : 2.82mb User : red kite