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
Powell.SA.MI.registration
- 本人的计算机硕士论文，Powell和SA混合优化的互信息图像配准，-I am a computer master' s thesis, Powell, and SA Hybrid Optimization of mutual information image registration,
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-tools
- 全局智能优化方法——模拟退火法的代码和例子。模拟物体降温热平衡的过程。-Global intelligent optimization methods- Simulated Annealing code and examples. Simulation objects cool down the process of thermal equilibrium.
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
2.Using-SA-as-an-Optimization-for-IMRT
- Using SA as an Optimization for IMRT.doc
SA-TSP
- 基于经典的优化算法--模拟退火算法的旅行商问题寻优实现，该算法比较经典，可用于后续一些性能对比分析-The traveling salesman problem-- the classical optimization algorithms and simulated annealing algorithm is implemented based on the algorithm, compare the classic, can be used for the analysis of sub
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