搜索资源列表
nn+ga+sa+fuzzy
- 本文介绍了nn+ga+sa+fuzzy等算法的总结性的东西，对于这些算法有初步认识，很有帮助-nn sa ga fuzzy algorithms such as a summary of things, these algorithms have an initial understanding and helpful
sa+ga
- 采用遗传算法和模拟退火算法解决ＶＬＳＩ中的布局优化问题
OptAlgorithm
- 实现了TS，SA，GA，ENA，MGLS等一系列现代优化算法，包括benchmark
GASATS_Hybrid_Algorithms_for_Reactive_Power_Optimi
- 关于电力系统无功优化方面的论文，使用GA/SA/TS三种混合的方法进行优化。
sa
- matlab模拟退火算法工具箱，很好的解决了matlab没有专门的工具箱的问题-Simulated annealing
TSP
- 各种算法的TSP源码，包含GA、SA、TS、ANN。-TSP source of various algorithms, including GA, SA, TS, ANN.
MATLAB
- it is a matlab program for ga sa tabu sworm opt heuristics we can also use matlab here. or there can
GA-2010-02-04
- GA遗传算法的实现,比较的其它算法，优势，应用-GA APPROCH ASAD ERWFWEW AHUSIA XJASIO AP PA A---Q SA AS GGH JHM HBVX DFDVBGHNHN
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
3SAT
- GA比起SA ，最大的优势在于对个初始解，而且存在杂交和变异，让SA具有非常强的跳出局部最优解的能力。而且简单通用，健壮性强。但是待定的参数很多，而且计算速度比较慢。选择，杂交，变异算子的选取也很关键。-GA than SA, the biggest advantage of an initial solution, and there is hybridization and mutation, so that SA has a very strong ability to jump out
ICFPC2012
- icfp 2012 submission TSP + SA + GA + Local Search algoritms
tsp
- SA、GA、PSO解决TSP问题的C++源代码-SA, GA, PSO to solve the TSP problem. C++
sa-ga
- matlan code of hibryd SA-GA algorithm
sa-ga
- the hybrid SA-Ga algorithm in matlab
TSP(GA)
- TSP(SA),遍历中国主要城市的最小路径-TSP (SA), the minimum traversal path China s major cities
SA-GA-ALGRITHM-C
- 模拟退火算法是基于Monte Carlo迭代求解法后种启发式随机搜索算法，它模拟固体物质退火过程的热平衡问题与随机搜索寻优问题的相似性来达到寻找全局最优或近似全局最优的目的-SA GA
启发式算法
- 基础的启发式算法样例,ACA,GA,PSO,SA(Example of basic heuristic algorithm)
SA
- SA GA PSO等算法及改进的算法，以及Griewank 函数的matlab代码(SA GA PSO algorithm and improved algorithm, as well as the matlab code of Griewank function)