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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
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+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-Realize the TS, SA, GA, ENA, MGLS a series of modern optimization algorithms, including the 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。-With regard to reactive power optimization papers, the use of GA/SA/TS hybrid three optimization methods.
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.
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
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
optimsition
- 主要介绍智能优化算法的程序，有GA、SA算法-Intelligent optimization algorithms introduced the program, there are GA, SA algorithm
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
TestFunctionsForOptimization
- This paper provides the review of literature benchmarks (test functions) commonly used in order to test optimization procedures dedicated for multidimensional, continuous optimization task. Special attention has been
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 algorith
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 Anne
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 ve
functions
- This paper provides the review of literature benchmarks (test functions) commonly used in order to test optimization procedures dedicated for mul- tidimensional, continuous optimization task. Special attention has be
Ga-Sa-vrp
- 用遗传算法--模拟退火算法求解车辆路径问题。-Using genetic algorithms- simulated annealing algorithm for vehicle routing problem.
sso_simple
- simplified swarm optimization的matlab版本，可以節省寫程式的時間。本程演算法已驗證可以在某些問題上找到比pso、ga、sa、ts、aco等演算法更好的解。-simplified swarm optimization in matlab version, you can write a program to save time. The scheduling algorithm has been veri
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)