搜索资源列表
VPRTW-SA
- 运用模拟退火算法求解带时间窗约束的车辆路径问题-The use of simulated annealing algorithm with time window constrained vehicle routing problem
SA
- 这是用模拟退火算法解决0-1背包问题，下载后可直接运行，可以帮助有需要对模拟退火算法进行了解的朋友。-This is a simulated annealing algorithm to solve the 0-1 knapsack problem, after downloading, can be directly run, you can help those in need of the simulated annealing
sA-TS-for-TSP
- 模拟退火算法及禁忌搜索算法解tsp的比较，文章及matalb源码-Simulated annealing algorithm and tabu search algorithm for solving tsp comparison, articles and matalb source
SA
- 模拟退火GUI演示，利用模拟退火算法求全局最大值最小值-Simulated annealing GUI demonstration, the use of simulated annealing algorithm seeking the global maximum value of the minimum
SA
- Matlab的退火算法的实现，计算一个函数的最小值-Matlab implementation of the annealing algorithm to calculate a function of the minimum
SA
- 模拟退火算法和最速下降法的结合，既有模拟退火算法的全局性，搜索过程中最速下降法确定搜索方向，提高了收敛速度。-Simulated annealing algorithm and a combination of steepest descent method, both simulated annealing algorithm for the global nature of the search process in the ste
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 optim
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
- 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
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
- 模拟退火算法的入门教学PPT，以及简单的matlab实现代码。-Simulated annealing algorithm tutorial PPT, and the simple matlab implementation code.
sa
- 这是一个解决tsp问题的sa算法，简单经典-This is a sa algorithm to solve TSP problem, a simple classic
SA
- 该算法是模拟退火中最经典的一个算法，解决最短路的问题。运行过完全没有任何bug，代码中给了相关的数据，如果想用的话，只需要把你需要的数据放进去直接运行就可以出结果(The algorithm is the most classic algorithm in simulated annealing to solve the shortest path problem. Run completely without any bug, the
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)
sa
- 模拟退火算法实现工作指派问题求最优解，c++实现(Simulated annealing algorithm to achieve the work of the assignment problem for the optimal solution, c ++ implementation)
SA算法
- 本程序为现代智能算法中的模拟退火法，对于非线性规划，寻找震荡函数可行域内的最优解具有非常好的效果(This program is a modern intelligent simulated annealing algorithm, for nonlinear programming, find the optimal feasible domain shock function solution has very good effec
模拟退火算法及其在求解TSP中的应用
- 模拟退火算法(Simulated Annealing，SA)最早的思想是由N. Metropolis [1] 等人于1953年提出。1983 年,S. Kirkpatrick 等成功地将退火思想引入到组合优化领域。它是基于Monte-Carlo迭代求解策略的一种随机寻优算法，其出发点是基于物理中固体物质的退火过程与一般组合优化问题之间的相似性。(The earliest idea of Simulated Annealing (SA)
模拟退火SA
- 模拟退火算法的实现，包含基本算法流程图以及算法实现(The implementation of simulated annealing algorithm)
sa-pso
- 利用模拟退火算法来接受不好的结果来改善粒子群算法，跳出局部最优陷阱。(The simulated annealing algorithm is adopted to accept the bad results to improve the PSO algorithm and jump out of the local optimal trap.)
PSO(粒子群)-SA（模拟退火）
- 粒子群算法-模拟退火算法,关于matlab的算法说明(Particle swarm optimization-simulated annealing algorithm)