搜索资源列表
PSO_B_SA
- 基于模拟退火的粒子群优化算法,示例程序，用于求解复杂函数的极值问题（源程序中的示例函数为Camel，Rastrigrin，Ackley）-PSO_A Alogrithm ,Hybrid particle swarm-based-simulated annealing optimization algorithm
SA
- 模拟退火实现的连续函数优化问题。仿真效果良好-Simulated annealing to achieve the continuous function optimization problems. Simulation results
sa-tap
- 模拟退火算法在处理全局优化、离散变量优化等困难问题中,具有传统优化算法无可比拟的优势。描 述了模拟退火算法的原理及其基本框架结构,给出了用模拟退火算法求解TSP问题的具体实现方法 -Simulated annealing algorithm in dealing with global optimization, discrete variable optimization of difficult problems, traditional optimization algorithm
sa-ppt-sample
- 模拟退火算法最早的思想由Metropolis等（1953）提出，1983年Kirkpatrick等将其应用于组合优化。-Simulated annealing algorithm was first thought by Metropolis et al (1953) suggested that, in 1983, Kirkpatrick and so on will be applied to combinatorial optimization.
SA
- 带约束算子的粒子群算法，用于matlab环境，对于搞研究的教师有很大帮助-Operator Constrained Particle Swarm Optimization for the matlab environment, engage in research for teachers are very helpful.
SA
- sa算法，可以用于多目标优化，可以分享的啊。-sa algorithm can be used for multi-objective optimization, can share the ah.
SA-rosenbrock
- Simulated annealing m-file for Rosenbrock function optimization
SA_GA_PSO
- 模拟退火（SA）、遗传算法（GA）、粒子群优化（PSO）解决旅行商问题（TSP）实验 本文件包括源码，实验说明文档，实验总结PPT Have a happy experiment！-Simulated annealing (SA), genetic algorithms (GA), particle swarm optimization (PSO) to solve the traveling salesman problem (TSP) experiment of this docum
tulun2
- 数学建模中的常用算法 - 算法分析 - 道客巴巴 数学建模中的常用算法 成都信息工程...最优化理论的三大非经典算法: 模拟退火法SA、神经网络NN、遗传算法GA 近几年的... -Commonly used mathematical modeling algorithm- Algorithm Analysis- Road passenger Baba mathematical modeling algorithms used in the Chengdu Univers
yichuansuanfa
- 研究了两种全局优化算法:遗传算法( Genetic Algorithm , GA) 和模拟退火(Simulated Annealing ,SA) ,并且比较了它们在神经网络优化中的性能。-Study of two global optimization algorithms: genetic algorithm (Genetic Algorithm, GA) and simulated annealing (Simulated Annealing, SA), and compared them
sa
- 模拟退火法作为一种全局优化算法，应用广泛。-Simulated annealing is a global optimization method, which is widely used。
SA
- 实现一个MAX 3-SAT 问题的解决。采用模拟退火算法。-to implement a max 3-SAT problem optimization algorithm using simulated annealing
SA
- 模拟退火算法的讲义，对于初学智能优化算法的人会有很大帮助！-Simulated annealing handouts, intelligent optimization algorithm for the beginner who will be a great help!
sa-qpso
- 基于模拟退火算法的量子行为粒子群优化算法-Based on simulated annealing algorithm of particle swarm optimization algorithm
sa-tsp
- 应用模拟退火的TSP优化算法，程序注释清晰，运行流畅-The TSP simulated annealing optimization algorithm, the program notes clear and running smoothly
SA
- 使用模拟退火算法优化函数极值，代码自编，取得了较好的结果-Using simulated annealing optimization function extremum, the code self, and achieved good results
sa-pso
- 粒子群算法，利用粒子群算法求目标函数的最优问题，极大值或极小值-code for particle swarm optimization method written in MATLAB
sa
- 这是本人在做项目时编写的一个模拟退火算法。利用该算法可以求解无约束优化问题。对于约束优化问题，可做相应的修改，即可使用。-The Simulated Annealing program is coded in Matlab. You can use the program to solve the unconstrained optimization program.
SA
- 模拟退火算法的MATLAB实现，通过赋予搜索过程一种时变且最终趋于零的概率突跳性，从而可有效避免陷入局部极小并最终趋于全局最优的串行结构的优化算法。-MATLAB implementation of simulated annealing algorithm, a search process by giving time-varying and ultimately tends to zero the probability of jumps, which can effectively av
SA
- SA模拟退火算法，解决了函数优化问题，只要改变目标函数就可以对不同的函数进行优化。-SA simulated annealing algorithm to solve the function optimization problem, just change the objective function can be optimized for different functions.