搜索资源列表
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
The-Multi-user-Detection-ALGORITHM
- 联合智能(JI-MUD)多用户检测算法是由粒子群优化(PSO)算法,遗传算法(GA)和模拟退火(SA)算法-the joint intelligent multi-user detection (JI-MUD) algorithm which was composed by particle swarm optimization (PSO) algorithm, genetic algorithm (GA) and simulated annealing (SA) algorithm was p
Simulated-annealing-algorithm
- 模拟退火算法SA matlab程序有关SA算法的详细介绍-Simulated annealing algorithm SA matlab program
SA
- 模拟退火算法，解决旅行最短路径问题，matlab程序-Simulated annealing algorithm to solve traveling the shortest path problem, matlab program
SA
- 模拟退火算法各个文件，帮助你求解tsp问题-The simulated annealing algorithm
SA-TSP
- 使用模拟退火算法来解决TSP旅行商优化问题-Using simulated annealing algorithm to solve TSP traveling salesman optimization problem
sA
- 模拟退火算法用于解决商人旅行中的不同城市选择最佳的路线图-Simulated annealing algorithm for solving businessman traveling in different cities to choose the best roadmap
jobshop-sa-jsp
- 模拟退火算法解决作业车间调度jobshop问题，以FT06问题为例说明，可产生甘特图，JSPmain是主函数。-Simulated annealing algorithm to solve the job shop scheduling jobshop problem to FT06 problem as an example, can produce a Gantt chart, JSPmain is the main function.
sa
- 本程序是运用模拟退火算法解决旅行商问题，求解最短路径，C语言程序-This procedure is to use simulated annealing algorithm to solve the traveling salesman problem, solving the shortest path, C language program
GA-and-SA-TO-SOLVE-TSP
- 用遗传算法和模拟退火算法解决TSP问题，希望能够帮到你-Solve TSP using genetic algorithms and simulated annealing algorithm
3SAT(SA)
- 使用模拟退火算法（SA）解决3-SAT问题，程序中有详细注释，采用文件方式输入输出，数据规模可在程序中修改。-Using simulated annealing algorithm (SA) to solve the 3-SAT problem, the program has detailed notes, the use of input and output files, data scale can be modified in the program.
sa
- 随机逼近，一种不需求导的求最优值或特定值的逼近算法。基本方法为设目标值为A,要找这样的x,使h(x)=A。-Stochastic approximation .without derivation, a kind of approximation algorithm of optimal value or particular value.Basic method for setting the target for A, want to find such x, h (x) = A.
SA-OE
- 基于过完备基展开的空间自适应去噪算法。论文《Spatially adaptive image denoising under overcomplete expansion》。-Spatially adaptive image denoising under overcomplete expansion
SA-VRP(TS-VRP)
- 采用模拟退火算法或禁忌算法求解车辆路径问题-Using simulated annealing algorithm or tabu search algorithm to solve the vehicle routing problem
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
- 用matalab模拟退火算法解决 10 个城市的 TSP 问题，程序详细、实用，很适合初学者。-Using simulated annealing algorithm to solve matalab 10 cities TSP problem, the program detailed, practical, very suitable for beginners.
SA
- 这是基本的模拟退火算法，里面还附有一个常用的测试函数。-This is the basic simulated annealing algorithm, which is also accompanied by a commonly used test functions.
TSP-SA
- 模拟退火算法解决经典的TSP问题，自己做的，测试不错，可以用-Simulated annealing algorithm to solve TSP classic problem, do it yourself, test good, you can use
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-algorithem-forVRP
- 使用matlab进行模拟退火算法编例，解决车辆路径最优化问题。-vrp with use of SA