搜索资源列表
OptAlgorithm
- 实现了TS，SA，GA，ENA，MGLS等一系列现代优化算法，包括benchmark
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.
SAGAHillClimbing
- Simulated Annealing SA Hill Climbing HC Local Beam Search LBS Genetic Algorithm GA -Simulated Annealing SA Hill Climbing HC Local Beam Search LBS Genetic Algorithm GA
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
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 paid to multiple-extreme func
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
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 been paid to multiple-extreme
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 verified can find better than pso,
sa-ga
- matlan code of hibryd SA-GA algorithm
sa-ga
- the hybrid SA-Ga algorithm in matlab
TSP(GAaSA)
- 基于模拟退火的遗传算法求解旅行商TSP问题-TSP by GA+SA
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
模拟退火遗传算法程序
- 模拟退火遗传混合算法,求解NP-HARD问题(this program is used to analyse genetic-simulated annealing algorithm (GSA) by matlab)
启发式算法
- 基础的启发式算法样例,ACA,GA,PSO,SA(Example of basic heuristic algorithm)