搜索资源列表
YNGP
- 基于GP、GA学习的遗传优化算法实现,里面还包括了作为病虫害预测预报的数据库。-based GP, GA studying the genetic optimization algorithm. which also included as a pest forecast database.
CountValue
- 从C++版本修改过来的遗传退火算法,用于计算蛋白质能量值-From C++ version of the genetic changes over the annealing algorithm used to calculate the energy value of protein
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
- 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