搜索资源列表
TSP
- 模拟退火算法来源于固体退火原理，将固体加温至充分高，再让其徐徐冷却，加温时，固体内部粒子随温升变为无序状，内能增大，而徐徐冷却时粒子渐趋有序，在每个温度都达到平衡态，最后在常温时达到基态，内能减为最小。根据Metropolis准则，粒子在温度T时趋于平衡的概率为e-ΔE/(kT)，其中E为温度T时的内能，ΔE为其改变量，k为Boltzmann常数。用固体退火模拟组合优化问题，将内能E模拟为目标函数值f，温度T演化成控制参数t，即得到解组合优化问题的模拟退火算法：由初始解i和控制参数初值t开始，
TSP_GSA
- tsp问题，是一个很典型的NP完全问题，该程序用了遗传—退火结合算法，能优化计算-tsp problem is a typical NP-complete problem, the program is to use genetic- combined annealing algorithms that optimize computing
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
TSP
- 有遗传算法及模拟退火算法对TSP的应用，有框架窗口。-A genetic algorithm and simulated annealing algorithm for TSP applications, there are frame window.
tsp
- 利用模拟退火算法解决TSP问题（C++实现）-TSP PROBLEM
tsp
- 高级人工智能算法中的TSP问题求解，应用模拟退火算法实现-tsp problem solved in vc++
TSP
- 应用模拟退火算法求解TSP的主要程序，主要应用在ITS中。-Application of simulated annealing algorithm for TSP of the main proceeding.
TSP
- 模拟退火处理tsp问题，matlab 代码-tsp problem matlab code
TSP
- TSP 模拟退火 求最短路径 哈米尔顿回路-tsp
TSP
- 用穷举法和模拟退火方法实现了求解tsp问题-With exhaustion and simulated annealing method for solving TSP problem
TSP
- 运用模拟退火法解决ＴＳＰ问题，程序比较清晰，适合初学者借鉴-TSP using simulated annealing method to solve the problem, the program is relatively clear, suitable for beginners to learn
many-methods-to-solve-TSP
- 多种方式求解TSP问题，有遗传算法，A*算法，D算法，模拟退火，神经网络等-A variety of ways to solve TSP problem, a genetic algorithm, A* algorithm, D algorithm, simulated annealing, neural networks
TSP-based-on-improved-pso
- 基于对粒子群优化算法原理的分析，实现了一种基于TSP的改进的粒子群优化算法：求解TSP的混合粒子群算法，结合遗传算法、蚁群算法和模拟退火算法的思想来解决TSP问题。-Particle swarm optimization based on the principle of the analysis, implemented based on TSP, improved particle swarm optimization algorithm: solving the TSP hybrid pa
模拟退火算法解决tsp问题
- 设计一个可以对TSP问题进行组合优化的连续型Hopfield神经网络模型，利用该魔心可以快速的找到最优的一条路线。(A continuous Hopfield neural network model for combinatorial optimization of TSP problems is designed, which can be used to find the optimal route quickly.)
模拟退火算法
- 基于模拟退火算法的求解TSP问题的matlab程序，对于学习算法的初学者，可作为入门的简单程序(To solve the problem of TSP simulated annealing algorithm based on the matlab program, for beginners learning algorithm, can be used as a simple entry procedures)
chapter19基于模拟退火算法的TSP算法
- 模拟退火算法属于现代算法，可以求得复杂函数的最优解(The simulated annealing algorithm belongs to modern algorithm, and the optimal solution of complex function can be obtained)
模拟退火算法tsp
- 用matlab实现模拟退火实现tsp问题。(Using MATLAB to achieve simulated annealing to achieve TSP problem.)
模拟退火
- 利用模拟退火算法 计算城市最短距离 无闭合回路tsp商旅问题求解(monituihou jiejeuchengshi zuiduanlujingwenti)
模拟退火算法
- 此问题为传统的TSP问题，从一个城市出发，到达目的地，所用算法为模拟退火算法，算法可以完美运行。(This problem is a traditional TSP problem, starting from a city, reaching the destination, the algorithm is simulated annealing algorithm, the algorithm can run perfectly.)
tsp_use_simulated_annealing
- 模拟退火TSPMatlab实现，Matlab代码(tsp_use_simulated_annealing)