Description: 简洁得模拟退火算法，用来求函数得极值问题，有兴趣得可以看看。里面提出了一个问题，有兴趣得可以做一个实验-concise in simulated annealing algorithm, used to function in extreme demand, are interested they can look at. They raised a question that interested you can do an experiment Platform: |
Size: 261120 |
Author:张庆 |
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Description: 模拟退火算法.里面有很多的例子可以参考.解压后在matlab平台下运行.-simulated annealing algorithm. There are many examples of reference. Unpacked in Matlab platforms. Platform: |
Size: 216064 |
Author:吴天浩 |
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Description: anneal_SimulatedAnnealing.rar用C语言编写，能弥补Matlab中无现成模拟退火算法函数的不足-anneal_SimulatedAnnealing.rar C language, Matlab can make up for the non-existing simulated annealing function of inadequate Platform: |
Size: 43008 |
Author:wang |
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Description: This demo nstrates the use of the reversible jump MCMC simulated annealing for neural networks. This algorithm enables us to maximise the joint posterior distribution of the network parameters and the number of basis function. It performs a global search in the joint space of the parameters and number of parameters, thereby surmounting the problem of local minima. It allows the user to choose among various model selection criteria, including AIC, BIC and MDL Platform: |
Size: 958464 |
Author:大辉 |
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Description: 这是一个基于模拟退火算法的混沌神经网络模型-This is an algorithm based on simulated annealing chaotic neural network model Platform: |
Size: 1024 |
Author:袁颂岳 |
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Description: 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 journal includes tabu search and SA matlab code to solve tsp. Platform: |
Size: 74752 |
Author:destra |
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Description: 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, direct search method, descent and non-numerical optimization methods (such as simulated annealing, genetic algorithms, etc.), genetic algorithm for solving approaches: the first on the top of the decision variable coding, on behalf of the were lower programming model, by solving the lower model of decision variables values into the upper model on behalf of the fitness value, and then crossover and mutation, select Options, and finally get the best solution. Platform: |
Size: 2048 |
Author:大海 |
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Description: 利用模拟退火算法寻找我国31个省会城市（不含港澳台）的TSP最短路径.输出最短路径顺序及其长度，以及模拟退火算法迭代过程中的最短路径长度进化曲线-Simulated annealing algorithm to find China' s 31 provincial capital cities (excluding Hong Kong, Macao and Taiwan) of TSP shortest path shortest path output sequence and length, as well as simulated annealing algorithm iterations shortest path length evolution curve Platform: |
Size: 1024 |
Author:wang |
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Description: 模拟退火算法的应用很广泛，可以较高的效率求解最大截问题(Max Cut Problem)、0-1背包问题(Zero One Knapsack Problem)、图着色问题(Graph Colouring Problem)、调度问题(Scheduling Problem)等等。(Simulated annealing algorithm is widely used, can be more efficient to solve the maximum Problem Cut (Max), 0-1 knapsack problem, graph coloring problems, scheduling problems, and so on.) Platform: |
Size: 62464 |
Author:四姑娘
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