自己用JAVA编的人工智能的A*算法的八数码程序

经典的粒子群源代码！详细的备注、严谨的语句是初学粒子群的好东西-The classical particle swarm source code! Detailed comments, rigorous statement is a good thing novice PSO

该算法经运行，无任何问题，可用于解决遗传算法求解车辆路线问题-The algorithm by running without any problems, can be used for genetic algorithm to solve Vehicle Routing Problem

编写的BP算法的软件模拟 在Turbo c++3.0环境下编译通过-prepared by BP algorithm in the software simulation 3.0 Turbo c compiler environment through

粗糙集软件Rosetta，由挪威科技大学计算机与信息科学系和波兰华沙大学数学研究所合作开发的一个基于Rough集理论框架的表格逻辑数据分析工具包-Rough Set software, Rosetta, by the Norwegian University of Science and Technology, Department of Computer and Information Science, University of Warsaw, Poland Institute of Mathematics, co-developed a theoretical framework based on Rough Set the table logical data analysis tool pack

C++实现神经网路的bp算法，初学者可以参考下 BP algorithm of neural network s achievement based on c++, maybe it is useful to a new learner-C++ Realization of bp neural network algorithm, beginners can refer to under the BP algorithm of neural network s achievement based on c++, Maybe it is useful to a new learner

国内并行遗传算法文章大收集，研究并行遗传算法必备学习资料-Internal parallel genetic algorithm papers .It is essential learning material for donging research on Parallel genetic algorithm .

A*算法，迷宫寻路，初步解析A*算法如何在迷宫寻路-Astar

微分进化算法DE是1995年由Rainer Storn和Kenneth Price首先提出。DE已被证明在求解过程中具有高效性、收敛性、鲁棒性等优点[5,6] 。它在许多优化问题中都表现出优于自适应模拟退火算法、POS 算法、GA算法的性能。DE利用实数值参数向量作为每一代的种群，它的自参考种群繁殖方案与其他优化算法不同。-DE was first proposed in 1995 by Rainer Storn and Kenneth Price and had been proven that it is efficient, convergent, and robust in the solution process. [5,6] In many optimize questions, its performance surpasses the adaptive simulated annealing algorithm, the POS algorithm, and the GA algorithm. DE gets each generation of population using the real value parameter vector, and the crucial idea of DE is a scheme for generating trial parameter vectors.

根据粒子群算法的特点，用vc写出了源程序，可以实现粒子群的优化-According to the characteristics of particle swarm optimization, using vc wrote source code, you can achieve the particle swarm optimization

小波神经网络的MATLAB程序，没有用库函数-Wavelet Neural Network MATLAB procedures, did not use library functions