搜索资源列表
anneling_type_alg
- anneling simulated algorithms
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
fire
- 模拟退火算法是基于蒙特卡罗迭代求解法的一种启发式随机搜索过程。本文给出了该算法的详细介绍和伪代码。-Monte-Carlo simulated annealing algorithm is based on a heuristic iterative method for solving stochastic search process. This paper gives a detailed descr iption of the
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
MATLAB-Code-for-Simulated-Annealing
- TSP can be defined as a problem where starting from a node it is required to visit every other node only once in a way that the total distance covered is minimized. After an initial solution a neighborhood solution is se
SimulatedAnnealing
- Simulated Annealing (SA) is a smart (meta)-heuristic for Optimization. Given a cost function in a large search space, SA replaces the current solution by a random "nearby" solution. The nearby solution is chosen with a p
simulated_annealing
- 人工智能问题，通过模拟退火算法实现旅行商问题，随机产生31个地址，计算旅行商走完的最短路径，并绘制路线图。作者：陈华昌-Using simulated annealing algorithm achive "traveler" problem.
simulated-annealing
- 模拟退火程序，用MATLAB语言实现，并带有程序算法说明-simulated annealing
SimulatedAnnealingTools
- 很好用的模拟退火Matlab工具箱，带有英文说明书 -Simulated Annealing Tools Software
munituihuo
- 模拟退火算法解决TSP问题，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，对当前解重复“产生新解→计算目标函数差→接受或舍弃”的迭代，并逐步衰减t值，算法终止时的当前解即为所得近似最优解-Simulated annealing algorithm to solve the TSP problem, combined with solid
MSCI703_project
- this journal is created by Sachin Jayaswal Student ID: 20186226 Department of Management Sciences University of Waterloo. it s describe how performances of tabu search and simulated annealing solve the TSP. this jour
SimulatedAnnealing
- a useful presentation about Simulated annealing
SA
- Hybrid Simulated Annealing for synthesis of fiber Bragg grating
safeatureselectionpaper
- 模拟退火算法进行特征选择和参数优化的经典论文-Simulated annealing algorithm for feature selection and parameter optimization of the classic papers
Solving
- 求解双层规划问题常用的算法有极点算法、直接搜索法、下降法和非数值优化方法(如模拟退火算法、遗传算法等)，遗传算法的求解思路是：首先对上层的决策变量编码，代人下层规划模型，通过求解下层模型的决策变量值，代入上层模型计算适应度值，然后进行交叉、变异、选择操作，最后求出最优解。-Solving Bilevel Programming Problems with pole algorithm commonly used algorithms,
Theadvancedcomparisonalgorithmlecture
- 在本讲义中，我们将着重讲述一些数学建模中常用的算法，包括神经网络算法、遗传算 法、模拟退火算法和模糊数学方法。用这些算法可以较容易地解决一些很复杂的，常规算法很难解决的问题。-In this lecture, we will focus on about a number of commonly used mathematical modeling algorithms, including neural network algor
anneal
- simulated anneling program
AdaptiveSimulatedAnnealing
- Adaptive Simulated Annealing with matlab code