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modern_youhua
- 现代最优化算法（有170多页的PPT，2010年的） 分为三个部分 Part 1 概论 Part 2 模拟退火算法 Part 3 遗传算法 现在常用的优化算法 禁忌搜索算法 模拟退火算法 遗传算法 人工神经网络 蚁群算法 粒子群算法 混合算法-Modern optimization algorithm is divided into three parts Part 1 Part 2 Introduction Part 3 simul
GA
- 遗传算法GA求解无约束最优化问题，采用遗传算法求函数的最小值-The genetic algorithm GA for solving unconstrained optimization problems using genetic algorithm for the minimum of the function
zuiyouhuatiduniudunneiwaidian
- 基于最优化方法的函数优化问题，分别对于约束极值问题和无约束极值问题各有两种算法，包括相关资料、工程文件及总结论文，仅供参考（西电02105143）-Unconstrained extremum problem based on the optimal method of function optimization problems and unconstrained extremum problem each of the two algorithms, including related da
Particle-swarm-optimization
- 多极值点函数,包含有多个极小值点，要找到全局最小值点。属于无约束条件静态随机搜索最优化问题，有详细注解说明。-More extreme value point function, contains multiple minimum points, to find the global minimum point. Static random search optimization problem belongs to the unconstrained conditions, there are
AS_GA_PSO
- 遗传算法解决最小生成树问题，PURFER编码。 粒子群算法做无约束最优化问题。 蚁群算法解决TSP问题。-Genetic algorithm (ga) to solve minimum spanning tree problem, PURFER encoding.Particle swarm algorithm for unconstrained optimization problems.Ant colony algorithm to solve TSP problem.