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3。《遗传算法与工程设计》，[日]玄光男着，程润伟着 科学出版社 2000年第一版 本书着重从计算方法和应用技术的角度对遗传算法作了深入浅出的讨论。书中介绍了遗传算法的基本概念和结构，解决约束优化和组合优化问题的方法，以及遗传算法在生产调度、可靠性设计、交通运输、设备布局等一系列工业工程问题中的应用。本书可作为高等院校的工业工程、管理科学、运等学、计算机科学和人工智能专业的本科生和研究生的教科书。对于系统分析员、运行研究员、管理科学家以及在工业工程与运筹学领域里从事最优化问题研究和应用的专业技术人员，本书也不失为一本内容丰富且实用性较强的参考书。-3. "Genetic Algorithms and Engineering Design", [] to Yuen-man, Guilin-a 520-531 2000 version of the first book to focus on calculation methods and application of a technical point of view for Genetic Algorithm a simple discussion. The book on genetic algorithms, the basic concepts and structures, optimization and constraint solving combinatorial optimization problems. and the genetic algorithm in production scheduling, reliability design, transportation, equipment and layout of a series of industrial engineering problems applications. The book can be used as colleges in the industrial engineering, management science, transport and other science, computer science and artificial intelligence professi

遗传算法示例程序-GA sample program

A*算法是，最经典的寻路算法，广泛用于游戏人工智能领域。-A* algorithm is the most classic Routing algorithm, widely used in the field of artificial intelligence game.

人工神经网络java工具箱源代码 包含BP网络，K分类和RBF网络-ANN java source code toolkit includes BP, K Classification and RBF Network

遗传算法的四个源程序和源代码，在国内没有过的，看看国外的程序员是怎么编写的-Four genetic algorithm source code and source code, never at home and abroad to see how the programmer is prepared

本程序用国外流行的NetLogo开发，模拟蚂蚁群寻食-this program popular with foreign NetLogo development, simulation Ant group ants

BP算法的运算矩阵，很有用。-BP algorithm computing matrix, very useful.

与神经网络有相似的根源。但近年来在分类中得到了广泛的应用。这意味着，如果我对一些事物进行了分类（但你对我如何分类一无所知，或者说你不知道用于分类的规则），当一个新数据出现时，SVM可以预测它应该属于哪个集合。

pso 粒子智能优化算法，C语言实现。欢迎下载。-Intelligent Optimization Algorithm pso particles, C language. Welcome to download

微分进化算法DE（Differential Evolution）由Storn和Price等学者于1995年首先提出。它是一种基于种群优化的新智能优化方法，它已被证明在求解过程中具有高效性、收敛性、鲁棒性等优点-Differential evolution algorithm DE (Differential Evolution) by Storn and Price and other scholars in 1995, the first place. It is a species based on the optimization of the new intelligent optimization method, which has been proved in the solving process with high efficiency, convergence, robustness, etc.