genetic algorithm maze of achievement and improvement

经典的BPN人工神经网络例子源码 ，很经典的-BPN classic examples of artificial neural network source code, it is classic

vb环境下 匈牙利算法的解决 自己编的 仅供参考-Hungary Algorathm in vb,made by myself ,just for reference

神经网络与pid混合控制源程序，可以很好的解决非线性控制问题-Neural network and hybrid control pid source can be a very good solution to nonlinear control problems

matlab程序计算经典数学问题：最短路和次短路问题-matlab program calculated the classical mathematical problem: The most short-circuit and sub-shortest path problem

基于RBF的PID控制matlab程序，望大家参考，共同学习。-PID control based on RBF

GEP（基因表达式程序设计）是一种新的演化算法，该文件是基本的GEP编程，采用功能的封装格式，测试通过，能够方便的使用。-GEP (Gene Expression Program Design) is a new evolutionary algorithm, which is the basic GEP programming, functional package format, through testing, to facilitate their use.

java extreme programming cookbook

PSO--粒子群优化算法程序在vc++.net 2003下可实现的-PSO Particle Swarm Optimization procedures vc++. Net 2003 can be achieved

基本遗传算法程序包-basic genetic algorithm program package

仿真1：首先把网络温度参数T固定在100，按工作规则共进行1000次状态更新,把这1000次状态转移中网络中的各个状态出现的次数Si（i＝1，2，…，16）记录下来 按下式计算各个状态出现的实际频率： Pi=Si/∑i=1,NSi=Si/M 同时按照Bo1tzmann分布计算网络各个状态出现概率的理论值： Q（Ei）=（1/Z）exp（-Ei/T） 仿真2：实施降温方案，重新计算 采用快速降温方案：T（t）= T0/（1+t） T从1000降到0.01，按工作规则更新网络状态 当T=0.01时结束降温，再让T保持在0.01进行1000次状态转移，比较两种概率-a simulation : First of all network parameters temperature T fixed at 100 and, according to the rules for a total of 1000 to update the state, this state of the 1000 network transfer of all states for the number of Si (i = 1, 2, ..., 16) all recorded determined by the formula state-of the actual frequency : Pi = Si/i = 1, NSi = Si/M in accordance with Bo1tzmann distributed computing network of states all probability the theoretical value : Q (Ei) = (1/Z) exp (- Ei/T) Simulation 2 : implementation of cooling, re-using rapid cooling programs : T (t) = T0/(1 t) T dropped to 0.01 from 1000 and, according to the rules updated network state when T = 0.01 at the end of cooling, let T at 0.01 for the 1000 state tran