搜索资源列表
genetic-algorithm
- 基本遗传算法的函数最优化(预选择机制) 根据源码改编-The most basic function of genetic algorithm optimization (pre-selection mechanism)
SGA
- 这是一段基于c++的基本遗传算法程序，可以直接使用。-similar genetic algorithms
GA
- 用matlab实现的基本遗传算法、顺序选择遗传算法、适值函数标定的遗传算法、大变异遗传算法、自适应遗传算法、双切点交叉遗传算法、多变异位自适应遗传算法-Using matlab realize the basic genetic algorithm sequentially selects genetic algorithm, fitness function of the genetic algorithm calibration, large mutation genetic algorit
myGA
- myGA:用基本遗传算法求解一维无约束优化问题-myGA: basic genetic algorithm with the one-dimensional unconstrained optimization problems
gasample
- 基本遗传算法的C语言实现，由用户输入繁衍世代数、交叉率、变异率、随机数等内容，经过遗传变异等，得出最佳个体的所在代数及其他相关信息。-Basic genetic algorithm C language, multiply the number of generations, crossover rate, mutation rate, a random number and other content entered by the user, through genetic mutation,
GA_base
- 基本遗传算法解决经典函数优化问题，求解函数极值-The basic function of genetic algorithm optimization
yiqunjulei
- 改进的蚁群算法是基于遗传算法的改进，在基本遗传算法的基础之上，加入了变异因子，产生变异，从而更快的收敛-Improved ant colony algorithm is based on improved genetic algorithm, based on the basic genetic algorithm, adding the variability factor, mutation, and thus faster convergence
base-variation
- 这里面详细介绍了基本的遗传算法，对大家学习基本遗传算法有很大的帮助-That details the basic genetic algorithm, we learn the basic genetic algorithm is a great help
ACO
- 总共有7个不同类型的遗传算法源码，包括基本遗传算法，自适应遗传算法等7个遗传算法的源码-There are seven different types of genetic algorithm source code, including the basic genetic algorithm, adaptive genetic algorithm seven genetic algorithm source code
GA_test1
- 针对正弦信号的基本遗传算法，对初学者有一定的帮助，可以查看收敛过程-For basic genetic algorithm sinusoidal signal, there is some help for beginners, you can view the convergence process
TSP-general-GA.delphi
- 运用delphi7进行编程，能够解决TSP旅行商问题的基本遗传算法的实现，其中参数可自定义-Programming using delphi7, able to solve the TSP traveling salesman problem of the realization of the basic genetic algorithm, the parameter can be customized
adaptive-GA-TSP
- 运用matlab进行编程，能够解决TSP旅行商问题的基本遗传算法的实现，其中参数可自定义-Programming using matlab, able to solve the TSP traveling salesman problem of the realization of the basic genetic algorithm, the parameter can be customized
myGA
- 这个源代码是关于基本遗传算法求解一维无约束优化问题的代码-This source code is on a one-dimensional basic genetic algorithm code for unconstrained optimization problems
GA
- 各种遗传算法程序 1>myGA(基本遗传算法解决一维约束规划问题) 2>SBOGA(顺序选择遗传算法求解一维无约束优化问题) 3>NormFitGA(动态线性标定适应值的遗传算法求解一维无约束优化问题) 4>GMGA(大变异遗传算法求解一维无约束优化问题) 5>AdapGA(自适应遗传算法求解一维无约束优化问题) 6>DblGEGA(双切点遗传算法求解一维无约束优化问题) 7>MMAdapGA(多变异位自适应遗传算法求解一维无
ssga
- 实现实数编码的基本遗传算法，并对必要步骤进行注释-Achieve real-coded genetic algorithm
yichuansuanfa_jinlusousuo
- 这个程序是通过改写基本遗传算法来实现进路搜索功能的一个程序，能够快速进行进路搜索，程序中所搜索的是《铁路信号运营基础》中的举例站场5GD接车进路。-Procedures in the search is in the railway signal operating on the basis of for example station 5GD connected car route this program is by rewriting the basic genetic algorith
genetic-algorithm
- 比较了基本遗传算法和遗传算法与非线性规划算法结合的效果-genetic algorithm is improved by non-linear optimization algorithm
GA
- myGA:用基本遗传算法求解一维无约束优化问题 AdapGA:用自适应遗传算法求解一维无约束优化问题-MyGA: Basic genetic algorithm to solve one dimensional unconstrained optimization problem AdapGA: Adaptive genetic algorithm for solving one dimensional unconstrained optimization problem
GA_solveKnapsack-problem
- 利用基本遗传算法解决组合优化问题——背包问题-solving Knapsack problem based on GA
Genetic-Algorithm--function-extreme
- 基本遗传算法实现求函数极值,采用面向对象思想+模块化设计，可进行功能升级 ,注释非常清晰，可参考下.-Basic genetic algorithm function extremum seeking, object-oriented thinking+ modular design, can be upgraded functions, annotation is very clear, you can refer to the following.