遗传算法源代码,实现了选择操作、交叉操作和变异操作，通过适应度函数完成种群的选择及收敛。-genetic algorithm source code and realized the choice of operation, crossover and mutation operation, through fitness function completed Stocks choice and convergence.

对GA（遗传算法）的简单描述与实现，包括如何初始化一个种群，模拟种群的交叉与变异，怎么选取下一代个体等，可用来作为进阶学习GAP，GNP的资料，欢迎下载。-GA (genetic algorithm) a brief descr iption and implementation, including how to initialize a population, crossover and mutation of the simulated populations, how to select

实现48个城市的用遗传算法求解TSP问题，用户输入种群大小，运行代数，交叉率，变异率，得到运行界面。-Achieve 48 cities TSP problem using genetic algorithms, user input population size, run algebra, crossover rate, mutation rate and get running interface.