搜索资源列表
GeneAlg
- 遗传算法 简单的遗传算法和测试 包含测试文件 效率尚可 学生狗一个-genetic algorithm
jopt_sdk_4_9_5_evaluation_complete
- JOpt.SDK是一个自动化车辆路线和派送Java/J2SE和.NET.组件的工具。它可以解决旅行推销员的问题（TSP）和时窗限制路线规划的问题。它提供了各种因素限制的最佳化运输路线，如时窗，负载能力，规定行程路线。该组件是基于遗传算法，并自动确定订单任意设置车辆的优化配置。-JOpt.SDK is an automated vehicle routing and delivery of Java/J2SE and.NET. components of the tool. It can solv
chenxuejing
- 基于kmeans与遗传算法结合的代码，对于新手很有作用，编码采用二进制-Based on k means algorithm combined with genetic code, useful for the novice action, binary encoding
SGATSP
- 一种改进的用遗传算法解决TSP问题的算法，改进之处在于选择算子-An improved algorithm using genetic algorithms to solve TSP problem, the improvement is the choice of operator
GeneticAlgorithm-master
- 遗传算法解决旅行商的问题，通过java实现的源代码-GeneticAlgorithm master
MPI_TSP
- 遗传算法解决tsp问题，我需要下载基于MPI解决tsp问题，急需-Genetic algorithm to solve TSP problem,
genetic
- 本代码是用java语言编写的简单遗传算法，对于研究进化算法的朋友很有帮助-The code is simple genetic algorithm using java language, the study of evolutionary algorithms helpful friend
Genetic-Algorithm-seat-allocation
- 利用遗传算法，进行机位优化分配，实现机位资源合理高效利用。-Genetic algorithm, were assigned seats optimized to achieve efficient use of resources reasonably seat.
Advanced-Algorithm-master
- 用实例详细介绍基础的遗传算法，并通过遗传算法解决典型的旅行商（TSP）问题-The basic genetic algorithm is described in detail by the example, and the typical traveler (TSP) problem is solved by genetic algorithm
Multi-objective-
- 多目标遗传算法求解问题遗传算法求解问题 -Multi-objective optimization genetic algorithm
geneticAlgorithm-Maze
- 遗传算法 的 用java编写 求解最短路径 可运行- U9057 u4F20 u7F3 u7C09 u7R3
OwnTest
- 通过Java编码实现标准遗传算法（SGA）解决背包问题(Through Java coding, the standard genetic algorithm (SGA) is implemented to solve knapsack problem)
GA
- 研究软件测试时，使用到的一些算法代码，拿来分享共同学习(GA. When we study software testing, we use some algorithm code to share and study together)
MEGA_wishdown
- 通用的生物类软件，可用于进化树分析，遗传距离的分析等(analysis of Phylogenetic tree)
GA
- 使用java实现遗传算法，求出max{f(x1,x2)=21.5+x1*sin(4*π*x1)+x2*sin(20*π*x2)}的最优解 约束条件为 -3.0<=x1<=12.1 4.1<=x2<=5.8(The use of Java genetic algorithm, calculate the max{f (x1, x2) =21.5+x1*sin (4* PI *x1 +x2*sin (*x2) 20* PI)} of the optimal solutio
algorithms
- 先是将多目标问题分解为单目标 （用切比雪夫和加权平均法）然后用遗传算法优化(Multi-objective optimization algorithm based on java language. First, the multi-objective problem is decomposed into single objectives (using Chebyshev and weighted average method) and then optimized by genetic a
MOEA算法
- 非线性优化技术中的MOEA算法，主要是结合了基因算法，遗传算法和精英算法