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用matlab语言编写模拟退火算法,实现0－1被包问题(Simulated annealing algorithm with matlab language, the realization of 0-1 problem wrapped up)
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模拟退火，禁忌搜索，遗传算法，神经网络-MATLAB程序合集(Simulated annealing, tabu search, genetic algorithms, neural networks - MATLAB collection)
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对于各种现今时髦的算法的分析，里面有三十种算法，包含蚂蚁算法，遗传算法，模拟退火等等。(For the analysis of modern algorithms, there are thirty algorithms, including ant algorithm, genetic algorithm, simulated annealing, and so on)
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Nando de Freitas' sequential Monte Carlo demos in Matlab. Reversible Jump MCMC Simulated Annealing.
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基于遗传模拟退火算法实现数据的聚类，为后续的数据分析做准备(Data clustering analysis based on genetic simulated annealing algorithm)
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Is the basis of the signal processing, There CDF trigonometric curve / 3D graphs, Chaos-based simulated annealing algorithm.
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模拟退火算法求解车辆路径问题的MATLAB代码(Simulated annealing algorithm for vehicle routing problem)
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模拟退火算法解决函数ff=x^2(-20<x<20)极值(Simulated annealing algorithm for solving function extremum)
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simulated annealing for TSP
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simulated annealing using matlab
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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.)
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启发式算法的TSP的matlab程序，包含模拟退火算法与遗传算法。(Heuristic algorithm of TSP matlab program, including simulated annealing algorithm and genetic algorithm.)
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使用模拟退火算法实现无人机航迹规划，附录全部程序与数据(Using simulated annealing algorithm to realize UAV path planning, appendix all procedures and data)
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基于MATLAB的模拟退火，利用metroplis过程求解多变量下函数的最小值点。(simulated annealing)
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模拟退火算法的matlab示例,很好的入门程序。非常适合初学者。(Matlab example of simulated annealing algorithm, a good entry program)
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利用模拟退火算法实现VRP问题，此算法结果较为优良，对了解模拟退火算法有一定的借鉴意义(Using simulated annealing algorithm to achieve the VRP problem, the algorithm results are relatively good, to understand the simulated annealing algorithm has certain reference value)
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介绍模拟退火算法的功能和matlab程序(The function and matlab program of simulated annealing algorithm are introduced)
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《Matlab智能算法30个案例分析》基于遗传模拟退火算法的聚类算法(Clustering algorithm based on genetic simulated annealing algorithm)
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在Matlab平台上采用将模拟退火算法及遗传算法相结合的曲线拟合方法，实现以任意次数、任意顶点数的非均匀有理B样条（NURBS）曲线逼近给定测量点序列(On the Matlab platform, we use the curve fitting method combining simulated annealing algorithm and genetic algorithm to achieve the sequence of a given measurement point wit
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用模拟退火求最短路径，先用蒙特卡罗随机初始化，再进行退火，使收敛的速度快一点，保证解的准确(The shortest path is obtained by simulated annealing. First, the Monte Carlo is initialized randomly, then the annealing is carried out to make the convergence speed a little faster, so as to ensure the a
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