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Object_recognition_by_deterministic_annealing
- Object recognition by deterministic annealing
SAPSO
- 模拟退火-粒子群算法，该程序将模拟退火算法和粒子群算法相结合，对优化参数有很好的效果-Simulated annealing- particle swarm optimization, the program will be simulated annealing algorithm and particle swarm optimization by combining optimization parameters have a g
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
- 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
Genetic-Annealing
- 一个遗传算法工具箱，很好用的。一种改进的遗传算法-A genetic algorithm toolbox, very good use. An Improved Genetic Algorithm
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
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
CAD
- 自己编写的电路分析，优化程序，可求解电路响应，计算元件灵敏度，优化方法包括Powell法，模拟退火法，可部分实现滤波器设计的功能-I have written the circuit analysis, optimization procedures， can solve the circuit response, computing components sensitivity, and optimization methods in
annealing
- 这是模拟退火算法，用于解决换热器网络出口温度达到最大值的问题-This is a simulated annealing algorithm used to solve the heat exchanger outlet temperature to achieve maximum network problems
Annealing
- 使用模拟退火算法解决旅行商问题，输入为城市之间距离的描述，输出为城市之间的路径-The use of simulated annealing algorithm to solve the traveling salesman problem, enter a descr iption of the distance between cities, the output path between cities
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,