资源列表
gamecodezai
- 妙手连珠五子棋人工智能源代码.rar -good blend of witty renju artificial intelligence source. Rar good blend of witty renju artificial intelligence source. Rar
GA-2
- 利用遗传算法求解一个问题的最优解，包括交叉、变异等过程 -using a genetic algorithm for the optimal solution, including crossover and mutation processes
GA-1
- 一个利用遗传算法求解最优解的程序 主要是利用遗传算法迭代寻求最优的逼近解-using a genetic algorithm for optimal solution of the main procedures is the use of genetic algorithms for optimal iterative approximation Solutions
fencen
- 用分层实现遗传算法，高、低两个层次并行运行，自主选择种群规模、变异率及两层的交叉率，结果以文本方式输出。-layered with Genetic algorithms, low - and high-level parallel operations, choosing their own population size, mutation rate and the two-tier cross-rates, the results in text mode output.
duodianjiaocha
- 用多点交叉实现遗传算法，能够自主选择种群大小、变异率、交叉率以及染色体编码的输出，结果输出为文本。-with more cross-Genetic algorithm, can choose the size of population, the mutation rate, chromosome cross-rate encoding and output, the output text.
huishuofa
- 本程序为人工智能中较为经典的８皇后问题，采用回朔法实现的-the procedures for Artificial Intelligence eight more classic Queen's, and used to achieve the Schomburg France
ant-C++
- 蚁群算法的C++程序，转载于下面网站 http://fashionxu.bokee.com/4673640.html-ant colony algorithm C program, reproduced in the following website http : / / fashionxu.bokee.com/4673640.html
stprtool1.0
- 该工具箱是用于统计模式识别的，运行于matlab环境中。用户可以根据需要自行修改-The toolkit is used for statistical pattern recognition, operating in the Matlab environment. Users may need to amend its own
GAdownload
- 遗传求解求解一元二次方程的解源程序(下载点击GAdownload.c) 说明： 1 popu变量表示群体规模 2 L变量表示染色体的长度 3 pc,pm变量分别代表是交叉概率和变异概率 4 gen是迭代的代数 4 chromosome是一个全局的二维数组，里面存放的是个体的编码 5 程序最后的执行结果输出到了text.txt文本文件中-genetic solving quadratic equation to solve one yuan source solutio
object-tar
- 自适应的目标识别算法，它包含了当前主要的目标识别算法。-adaptive target recognition algorithm, which includes the current main target recognition algorithm.
2005091808353724918
- 是用于c++的传统蚂蚁算法代码,可以让大家从最简单蚂蚁算法来认识它,学习他.-traditional ant algorithm code, so that we can from the most simple to understand Ant Algorithm it, and learn from his.
an_intruction_of_a_simple_genetic_algorithm
- This a simple genetic algorithm implementation where the evaluation function takes positive values only and the fitness of an individual is the same as the value of the objective function -This a simple genetic algorithm impleme 'where