包含2个源代码，这是一个源程序的源程序，和O的..

模拟退火算法 模拟退火算法(Simulated Annealing,简称SA算法)是模拟加热熔化的金属的退火过程，来寻找全局最优解的有效方法之一。 模拟退火的基本思想和步骤如下： 设S＝{s1,s2,…,sn}为所有可能的状态所构成的集合， f：S―R为非负代价函数，即优化问题抽象如下： 寻找s*∈S，使得f(s*)＝min f(si) 任意si∈S （1）给定一较高初始温度T，随机产生初始状态S （2）按一定方式，对当前状态作随机扰动，产生一个新的状态S’ S’＝S＋sign(η).δ 其中δ为给定的步长， η为[－1,1]的随机数-simulated annealing algorithm (Simulated Annealing, or SA algorithm) is a simulation of heating molten metal in the annealing process, to find the global optimum one of the effective ways. Simulated Annealing basic ideas and the steps are as follows : S = (s1, s2, ..., sn) for all possible state posed by the pool, f : S-R non-negative cost function, that is abstract optimization problems are as follows : Find S* s, making f (s*) = min f (si) arbitrary si S (1) to set a higher initial temperature T, randomly generated initial state S (2) of a certain form, the current state of random disturbance, have a new state S "S" = S+ sign (). delta where given for the step, [-1,1] Random Number

神经网络程序设计，遗传算法-neural network programming, genetic algorithm

各种数值算法，包括：二叉树、贪心算法、搜索算法、遗传算法、模拟退火算法、分治策略等等。-A variety of numerical algorithms, including: binary tree, greedy algorithm, search algorithm, genetic algorithm, simulated annealing algorithm, sub-rule tactics and so on.

完整的3D 模型检索程序，使用C语言编写，可以使学习者从底层研究三维模型的检索框架，同时提供的C语言程序包也可以设计新的三维模型检索算法。-Complete 3D model retrieval, the use of C language, so that students can study three-dimensional model from the bottom of the search framework to provide the C language package can also be three-dimensional model of the design of the new search algorithm.

GA example in Visual Basic 6.5.

平时学习时搜集的算法书,聚类,神经网络,蚁群算,遗传算法-some e-books about the algorithm

遗传算法进行优化神经网络结构-genetic algorithm optimization neural network architecture! !

JavaGenes is an evolutionary software system written in Java. It implements the genetic algorithm, simulated annealing, stochastic hill climbing and other search techniques.-JavaGenes is an evolutionary software system written in Java. It implements the genetic algorithm, simulated annealing, stochastic hill climbing and other search techniques.

求解tsp问题的局部优化算法-the local optimization algorithm

用遗传算法优化神经网络权值的源程序-genetic algorithm optimization neural network value of the source