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n20062920912
- 模拟退火算法求解TSP问题.求解TSP问题的模拟退火算法-simulated annealing algorithm for TSP. TSP simulated annealing
SA_TSP_book
- 求解TSP问题的模拟退火算法教學文章-for TSP simulated annealing teaching article
monituihuo
- 在matlab下运行，实现基于模拟退火算法的函数求极小值算法，绝对能运行成功！-Run in matlab to realize the function based on simulated annealing algorithm for seeking the minimum, the absolute can run successfully!
TSP
- 免疫算法和模拟退火算法求解TSP问题的研究 本文提出了一种新的免疫模拟退火算法，并将其应用于求解典型的NP问题—TSP问题 -Immune algorithm and simulated annealing algorithm for solving TSP problems is proposed in this paper a new immune simulated annealing algorithm, and applies it to solve the issue of
geneticalgorithm
- 结合离散时间系统最优控制问题,提出一种新的混合算法.该算法是在遗传操作中嵌入模 拟退火算子,有效地结合了遗传算法隐含并行与模拟退火算法全局寻优的特点 -By embedding simulated annealing operator into genetic algorithm, a hybrid algorithm is put forward, which assimilates advantages ofboth genetic algorithm and simulated
Hybrid_Genetic_Algorithm_and_Simulated_Annealing.r
- 将适合全局搜索的遗传算法(GA)和适合局部搜索的模拟退火算法(SA)相结合-Hybrid Genetic Algorithm and Simulated Annealing
TSPproblems
- 解决TSP问题的几种算法 模拟退火法 遗传算法 贪心算法等-To solve the problem of several TSP algorithm simulated annealing greedy algorithm such as genetic algorithms
m4-heuristics
- Best-first search Greedy best-first search A* search Heuristics Local search algorithms Hill-climbing search Simulated annealing search Local beam search Genetic algorithms
samatlab
- 模拟退火算法MATALAB源程序 此题以中国31省会城市的最短旅行路径为例，给出TSP问题的模拟退火程序-Simulated annealing algorithm MATALAB source of this problem of China' s 31 provincial capital cities of the shortest path of travel as an example, simulated annealing procedures for TSP problem
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, direct search method, descent
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 algorithm, genetic algorithm Meth
SimulatedAnnealing
- 本文介绍了模拟退火算法的原理和求解方法,并将其用于指数曲线的拟合,在Matlab语言环境下实现了该算法,并且与文献中的遗传算法、线性回归相比较。数值模拟结果表明,该算法能更好地实现最优拟合。-This article describes the principle of simulated annealing algorithm and solution methods, and used an exponential curve fitting, the language environmen
Simulated-Annealing-of-matlab-matlab
- Simulated Annealing of matlab
Simulated-Annealing
- 由于K-means 聚类方法对遥感图像进行分类时，对训练样本的选取依赖性很大，容易陷入局部最优的陷阱的情况，本文提出利用模拟退化算法对K-means 的聚类进行优化以获得 全局最优解的分类新方案。并以多波段影像为例进行验证分析，结果表明该方法可行，收敛 结果优于K-means 聚类算法，分类精度相对传统的K-means 算法更高。-Because K-means clustering classification depend on the training sample selecti
annealing-algorithm-by-matlab
- 本文通过理论分析，仿真实现了模拟退火算法。-Through theoretical analysis, simulation to achieve a simulated annealing algorithm.
simulated-annealing
- 基于模拟退火遗传算法的车辆路径问题研究-Based on simulated annealing genetic algorithm for vehicle routing problem research
Simulated-Annealing-
- 基于模拟退火算法，在数字岩心建模上的应用。-Based on simulated annealing algorithm, the digital core modeling applications.
simulated-annealing-algorithm-(new)
- 第五章__模拟退火算法_(新) -Chapter V __ _ simulated annealing algorithm (new)Chapter V __ _ simulated annealing algorithm (new)
Simulated-Annealing-M-ethod
- 该文章是中国地质大学地球物理与空间信息学院王家映教授地球物理资料非线性反演方法讲座的一部分:模拟退火法-This articles is China university of geosciences school of geophysics and space information jia-ying wang, a professor at the geophysical data nonlinear inversion method, part of the lecture：Simulat