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java-ga-devel-alpha-0.1.tar
- 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.
crossover
- 逆变器交叉点的M 文件，也可有效应用于各种场合的有关逆变器的交叉运算中-Cross-point of inverter M documents can also be effectively used in various occasions of the inverter in the cross-operator
SampleGA
- 這是用JAVA編寫的基因遺傳演算法，透過選擇、交配、突變，適者生存，不適者淘汰方式，求最佳解的啟發式演算法。 -It is written in JAVA using genetic algorithms, through selection, crossover, mutation, survival of the fittest, not by way of elimination, find the optimal solution heuristics.
GA
- 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
yichuansuanfa
- 实现了基因遗传算法，实现了交叉，变异，突变等操作，最终产生最优解-Achieve a genetic algorithm to achieve the crossover and mutation, mutation and other operations, and ultimately produce the optimal solution
t1
- 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.