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模拟退火实现的连续函数优化问题。仿真效果良好-Simulated annealing to achieve the continuous function optimization problems. Simulation results
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这是用MATLAB编写的模拟退火算法求解背包问题的程序-This is prepared using MATLAB algorithm simulated annealing procedure for Knapsack Problem
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模拟退火算法的ppt和程序,分四个文件夹- algorithm and ppt of Simulated annealing
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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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genetic algorithm, simulated annealing, singleobjective, particle swarm optimi..., optimization, classes
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遗传算法与模拟退火,粒子群算法的结合与比较实验.稍微修改就可以学习应用-Genetic algorithms and simulated annealing, particle swarm optimization algorithm and comparison with experiment. A slight modification can learn the application of
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基于模拟退火的粒子群算法,解决无约束优化问题-Based on simulated annealing particle swarm algorithm to solve unconstrained optimization problems
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基于混沌粒子群与模拟退火优化算法的最小二乘支持向量机参数自选择方法-Based on Chaotic Particle Swarm Optimization and Simulated Annealing least squares support vector machine parameter self-selection method
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通过分析均匀分布与Cauchy分布的分布机制,提出了一种改进的模拟退火图像盲复原算法,该算法选择Cauchy
分布为随机扰动量来产生状态扰动函数。通过计算机仿真,验证了该算法对初值的鲁棒性和复原的效果优于基于均匀分布随
机扰动量模拟退火盲解卷积算法,提高了收敛到最优解的速度
-After analyzing the distribution mechanisms of uniform distribution and Cauchy distribution,an
algorith
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一个很好的模拟退火反演算法程序,例子是地球物理重力反演-A good simulated annealing inversion procedure, example is the geophysical inversion of gravity
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哈密尔顿回路算法,内含TSP模拟退火算法和三边交换简单算法-Hamilton-loop algorithms, simulated annealing algorithm includes TSP and trilateral exchange of a simple algorithm for
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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 including Powell method, simulat
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基于模拟退火的粒子群算法,模拟退火算法在搜索过程中具有该概率突跳的能力,能够有效地避免搜索过程陷入局部极小解。-Based on simulated annealing particle swarm optimization, simulated annealing algorithm in the search process has a sudden jump in the probability of the capacity, which can effectively avoid th
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模拟退火算法和最速下降法的结合,既有模拟退火算法的全局性,搜索过程中最速下降法确定搜索方向,提高了收敛速度。-Simulated annealing algorithm and a combination of steepest descent method, both simulated annealing algorithm for the global nature of the search process in the steepest descent method to determ
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粒子群优化算法是一种进化优化技术,源于对鸟群扑食的行为,是一种基于迭代的优化工具。此文件提供了基本粒子群算法、带压缩因子的粒子群算法、二阶粒子群算法、二阶振荡粒子群算法、权重改进的粒子群算法、混沌粒子群算法、基于杂交的粒子群算法、基于模拟退火的粒子群算法的MATLAB源代码。-PSO is an evolutionary optimization technique, derived from the behavior of the birds of prey, is based on iter
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模拟退火法,蚁群算法,遗传算法,分水岭算法等常见算法的Matlab程序-Simulated annealing, ant colony algorithm, genetic algorithm, watershed algorithm common algorithm Matlab program
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模拟退火算法在图像处理中的典型应用,用matlab编程-Simulated annealing algorithm in a typical image processing applications, programming with matlab
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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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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
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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,对
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