vb的波尔兹曼机（含模拟退火算法），有需要的可参考一下

模拟退火算法实验，使用MATLAB实现。-The simulated annealing algorithm, using MATLAB experiment.

本压缩软件有vc++图象处理编程的源代码，相信会对从事图像处理的各位有所帮助- This compression software has the vc imagery processing programming the source code, believed can to be engaged in picture processing each position to have the help

采用MFC技术，实现蚁群算法和遗传算法，形象化了算法实现的过程，有助于我们的学习和理解。-Use of MFC technology to realize ant colony algorithm and genetic algorithm, visualization of the algorithm implementation process, contribute to our learning and understanding.

基于肤色和模板的人脸检测MATLAB源代码.rar具有一定参考价值。-and template based on the color of face detection MATLAB source. Rar certain reference value.

多核环境下运行了可满足性分析的工具软件，能够使你充分了解多核编程技术-Multi-core environment running satisfiability analysis tools, enabling you to fully understand the multi-core programming technology

基于熵函数的语音端点检测方法.rar格式为ｖｉｐ-voice endpoint detection methods. Rar format vip

本算法为自适应遗传算法，采用基于排序的选择策略，编码方案为实数编码。能够解决很多优化问题！-The algorithm for the adaptive genetic algorithm, based on the sort of choice strategy, coding schemes for real-coded. Many optimization problems can be solved!

BP神经网络的设计前向型神经网络的实例，基于Matlab环境。-BP neural network design to the examples of neural network, based on the Matlab environment.

遗传算法 遗传算法-Genetic algorithm genetic algorithms genetic algorithms

MCRGSA------组播路由问题遗传模拟退火算法 ％M-----------遗传算法进化代数 ％N-----------种群规模，取偶数 ％Pm----------变异概率调节参数 ％K-----------同一温度下状态跳转次数 ％t0----------初始温度 ％alpha-------降温系数 ％beta--------浓度均衡系数 ％ROUTES------备选路径集 ％Num---------到各节点的备选路径数目 ％Cost--------费用邻接矩阵 ％Source------源节点标号 ％End---------目的节点标号组成的向量 ％MBR---------各代最优路径编码-MCRGSA------ Multicast Routing genetic simulated annealing% M----------- genetic algorithm algebra% N----------- population size, even take Pm----------% probability parameter variation%----------- same temperature K Jump under a number of state----------% t0 initial temperature cooling% alpha------- beta coefficient%-------- balanced concentration coefficient% ROUTES------ Alternative Path Set% Enable--------- nodes to the number of alternative paths%-------- Cost adjacent costs Matrix% Source------ source node labeling% End--------- destination node labeling Group Vector%% of the MBR--------- generations optimal path coding