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本程序是在MATLAB平台上面实现的用模拟退火算法解决01背包问题。,This procedure is in the MATLAB platform achieved with simulated annealing algorithm to solve knapsack problem 01.
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在matlab环境下用人工智能算法--模拟退火算法求函数极植的matlab程序-In the matlab environment using artificial intelligence algorithms- simulated annealing algorithm for function very replanting program matlab
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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
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MALAB程序,包括顶点覆盖近似算法,哈密尔顿回路,画等温线,模拟退火应用,生成全排列矩阵,最小生成树Prim算法,最短路径等-MALAB procedures, including vertex cover approximation algorithm, Hamilton circuit, painting isotherms, simulated annealing applications, to generate full-rank matrix, Prim minimum spann
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Simulated Annealing Impelemtation in MATLAB
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模拟退火算法,模拟退火算法来源于固体退火原理,将固体加温至充分高,再让其徐徐冷却,加温时,固体内部粒子随温升变为无序状,内能增大,而徐徐冷却时粒子渐趋有序,在每个温度都达到平衡态,最后在常温时达到基态,内能减为最小。-Simulated annealing algorithm, simulated annealing algorithm derived from the principle of solid annealing, heating the solid to the full hig
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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 algorithm to find out about fr
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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 selected by an exchange of a ran
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一个解决0-1背包问题的模拟退火程序,希望给有需要的人帮助-A solution to the 0-1 knapsack problem simulated annealing process, hoping to help those in need
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这个是matlab应用广泛的一个智能化程序,模拟退火算法在数学建模和工业控制中经常用到。-This is an intelligent matlab widely used procedure, simulated annealing algorithm in mathematical modeling and is often used in industrial control.
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Simulink 控制VR环境中的小车。小车有5个距离传感器,能够慢慢学会避开墙壁和障碍物。小车采用加强学习(Q learning),采用神经网络对Q函数逼近。由于使用了模拟退火,小车在开始的时候会经常撞击障碍物,10次后基本就不会再撞了。
小车的外观模型使用了"w198406141"在本论坛的虚拟现实区发布的VR模型。-VR environment Simulink control car. There are 5 car distance sensor, can gradually le
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统计推断在数模-模数中的应用,利用模拟退火算法找出七个关键点用于曲线拟合。全程序用matlab语言实现。-Statistical Inference in a few modules- module in the application of simulated annealing algorithm to identify the seven key points for curve fitting. Full program with matlab language.
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matlab模拟退火中源程序,基本例程都在压缩包中了。-simulated annealing matlab source code, the basic routines are in a compressed package.
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加温模拟退火算法 应用 matlab程序-Heating simulated annealing algorithm in matlab program
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这是一本书籍上面的程序。希望对一些初学智能算法的人们有用。里面包含遗传算法,模拟退火算法,粒子群算法等等。-This is a book the above procedure.Hope useful for people in some beginners intelligent algorithm.Contains the genetic algorithm, simulated annealing algorithm, particle swarm optimization (pso) a
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Nando de Freitas' sequential Monte Carlo demos in Matlab. Reversible Jump MCMC Simulated Annealing.
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利用matlab软件,应用模拟退火算法解决31个城市的TSP问题(Using Matlab software to apply simulated annealing algorithm to solve TSP problems in 31 cities)
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模拟退火算法解决背包问题,matlab环境实现c流程(Simulated annealing algorithm solves knapsack problem, and realizes C process in Matlab environment.)
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matlab的30个人工智能例程 案例
网课对应资源,涉及遗传算法,模拟退火蚁群等算法(v30 cases of artificial intelligence routines in MATLAB
Network course corresponding resources, involving genetic algorithm, simulated annealing ant colony algorithm, etc.)
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模拟退火算法来源于固体退火原理,将固体加温至充分高,再让其徐徐冷却,加温时,固体内部粒子随温升变为无序状,内能增大,而徐徐冷却时粒子渐趋有序,在每个温度都达到平衡态,最后在常温时达到基态,内能减为最小。根据Metropolis准则,粒子在温度T时趋于平衡的概率为e(-ΔE/(kT)),其中E为温度T时的内能,ΔE为其改变量,k为Boltzmann常数。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
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