用vc开发的A*寻路算法的dll,可以在其他语言调用，包含了一个vb调用的示例...

国外的一个A*算法演示，带源代码。作为算法参考非常好-abroad an A* algorithm demonstration, with the source code. As a very good reference algorithm

一个pso的演示程序,非常经典,对初学者来说是非常不错的学习资料!-A demo program PSO, very classic, for beginners is a very good learning materials!

exmat - The Expression Template Matrix Library,是矩阵运算模板库-exmat- The Matrix Expression Template Library, yes matrix calculation Template Library

dos 下运行,蚂蚁找食物,图形演示,动态化显示每一只蚂蚁如何找到事物.-dos run, the ants find food, presentation graphics, dynamic display every ants how to find things.

neural network in Java

matlab实现机器人基于两点法的路径规划，路径规划的实用例程-Matlab 2:00 achieve robot path planning method, path planning practical routines

标准的粒子群优化算法,visual c++.net环境下编写的代码,有助于学习和理解粒子群算法-Standard particle swarm optimization algorithm, visual c++. Net code to prepare an environment to help learning and understanding of particle swarm optimization

用c++ 开发的中国象棋，其中有网络版和单机版 ，但由于水平有下限，单机版做得很差，电脑智商较低，党调整到很难实几分钟 电脑才能走一步。其中参考了Pc gameing这本书，这本书讲得真好。-with the development of the Chinese chess, which is the network version and the single version, but a lower level. has done a poor job of a single computer, computer lower IQ, and the party to be very difficult to adjust a few minutes a computer can go one step further. With reference to the Pc gameing this book, this book put a shot.

遗传算法源程序evolution calculates the law origin code ,C-C++,人工智能/AI-NN-PR -genetic algorithm calculates the source evolution law orig in code, C-C, AI/AI- NN-PR

10。《用于最优化的计算智能》，Nirwan Ansali，Edwin Hou着，李军，边肇棋译 清华大学出版社 1999年第一版 本书从讨论组合优化中的基本问题――NP问题入手，系统地讲述了近年来所发展起来的智能最优化的各种技术和方法，其中包括启发式搜索、Hopfield神经网络、模拟退火和随机机、均场退火以及遗传算法等；并在此基础上，通过一些典型的应用问题，如旅行商问题、模式识别中的点模式匹配问题、通信和任务调度等问题进一步阐明以上一些基本方法怎样用来解决这些原来具有NP性质的困难问题。本书是作者在美国新泽西州理工学院多年讲授有关课程的基础上写成的。全书深入浅出，理论联系实际。为帮助学生掌握基本概念，提高学习能动性，各章编写了习题。本书可作为通信、计算机、控制各专业的高年级学生和研究生学习有关课程的教材。它对于广大科研工作者也是一本很有实际价值的参考书。 -10. "Optimal for Computational Intelligence," Nirwan Ansali, with Edwin Hou, Li Jun, Pin Zhaoxing chess translation Tsinghua University Press in 1999 the first book version of combinatorial optimization from the discussion of basic questions-- NP problem start, the system described in recent years to develop the intelligent optimization of the technology and methods, These include heuristic search, Hopfield networks, simulated annealing and random machine, mean field annealing and genetic algorithms; and on this basis and through some typical applications, such as the traveling salesman probl