搜索资源列表
Based_on_genetic_algorithm_for_solving_knapsack_pr
- 背包问题，遗传算法，GAs，基于遗传算法求解背包问题，源码，方法-Knapsack problem, genetic algorithms, GAs, Knapsack Problem Based on Genetic Algorithm
NormFitGA
- NormFitGA 用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 -NormFitGA dynamic linear calibration to adapt to the value of the genetic algorithm for solving one-dimensional unconstrained optimization problems
SBOGA
- SBOGA 用顺序选择遗传算法求解一维无约束优化问题 -SBOGA order to select genetic algorithm for solving one-dimensional unconstrained optimization problems
GMGA
- GMGA 用大变异遗传算法求解一维无约束优化问题 -GMGA large variation genetic algorithm to solve the one-dimensional unconstrained optimization problem
GA
- 用遗传算法求解一个多元函数的极值，用VC代码编写，能够看到执行过程的数据。-Here, this is VC program of find the extreme value of a given function by using the Genetic Algorithm。
genetic-algorithm
- 在旅行商问题中利用遗传算法求解，这是遗传算法的代码-genetic algorithm
GA
- 使用此代码是用遗传算法求解优化模型的一个简单的实例-Application of genetic algorithm optimization model
ga_tsp
- 一个非常有用的用遗传算法求解tsp的小例子，简洁易懂。-A very useful small example using genetic algorithms to solve tsp, concise and easy to understand.
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
PSO-GA-TSP-PID
- 压缩包包括5个群智能算法的程序，即PSOGA-PID优化，PSO的多目标perota优化问题，基于TSP-PSO算法，遗传算法求解TSP问题，遗传算法求解TSP问题-Compression package includes five swarm intelligence algorithm procedures, namely PSOGA-PID optimization, PSO perota multi-objective optimization problem, TSP-PSO algo
GA
- 遗传算法求解函数的极值源码，代码分为几个文件都是用遗传算法的操作命名。所求解函数具体说明在适应度函数文件和主要执行文件中都有说明。代码中有大量的注释，额甚至可以说注释的数量比代码量都多，因为编写次源码的初衷就是想用来给别人讲解遗传算法的一个大致的过程。虽然是最简单的GA，但是也还是有一定的效果。代码的不足之处欢迎指出。代码和注释为原创，希望转载者注明来源，以便大家技术交流。-A GA based on MATLAB. Including tons of comments for users.
nsga2code
- 一个关于多目标优化算法的程序，经典遗传算法求解多目标优化问题源码-Classical genetic algorithm for solving multi-objective optimization problem source
GA-TSP
- tsp问题的遗传算法求解代码，应用于matlab平台-Code genetic algorithm to solve TSP problem, applied in the matlab platform
shanglvwenti
- 遗传算法求解tsp 问题的模型，包括代码等，望大家学习-Genetic algorithm tsp problem model, including code and so on, we hope to learn
GA-vrp
- 运输成本、货损成本、时间成本等的配送成本最小化和以模糊时间窗进行量化的客户满意度最大化的多目标优化模型，采用改进遗传算法求解带模糊时间窗冷链配送问题。-A multi-objective optimization model to minimize the cost of transport and distribution costs, damage costs, costs of time and to quantify fuzzy time window to maximize custo
example2
- 采用二进制编码设置代沟得遗传算法求解目标函数最值问题- U91C7 u758 u4F9 u0F3 u7R1 u7B1 u7B0 U9898
nonliner
- 应用遗传算法求解带有约束条件的非线性函数优化问题- U5E94 u7528 u9057 u4F20 u7B97 u7L9 u6129 u7L2 u9E3
非线性方程组求解
- 利用改进的遗传算法求解非线性方程，遗传算法得到全局最优解作为初值寻找局部最优解(Using the improved genetic algorithm to solve the nonlinear equation, the genetic algorithm gets the global optimal solution as the initial value to find the local optimal solution)
物流调度
- 物流车辆调度（单中心仓），遗传算法求解过程源代码
基于遗传算法的多目标优化
- Matlab源码，通过非支配排序NASA-II,实现通过遗传算法求解多目标优化。