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另一版本的模拟退火算法SA求解SAT问题 内附比较详细说明-Another version of the simulated annealing SA algorithm to solve SAT problems containing a more detailed descr iption of
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模拟退火算法是局部搜索算法的扩展,以一定的概率选择领域中费用值大的状态-Simulated annealing algorithm is an extension of local search algorithm to choose a certain probability value of large areas of the state fee
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模拟退火算法是通过赋予搜索过程一种时变且最终趋于零的概率突跳性,从而可有效避免陷入局部极小并最终趋于全局最优的串行结构的优化算法-Simulated annealing algorithm is the search process by giving a time-change and ultimately tends to zero the probability of jumps, and thus can effectively avoid falling into local min
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c语言编写的模拟退火算法,可以避免搜索陷入局部最优解,有效解决优化问题。-c language of the simulated annealing algorithm, to avoid the search into a local optimal solution, an effective solution to optimization problems.
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using simulated annealing to find optimum of 3D function
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基于模拟退火遗传算法的车辆调度问题研究,其中使用matlab程序编出了整个算法-Genetic algorithm based on simulated annealing scheduling problem of vehicles, which use matlab program code out of the whole algorithm
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模拟退火算法matlab源程序,运行过的,没有问题!-Simulated annealing algorithm matlab source code, run-off, no problem!
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solve the problem of 8 queen in simulated annealing algorithm
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人工神经网络研究中,经典的模拟退火算法的实现。-Artificial neural network research, the classical simulated annealing algorithm.
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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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模拟退火算法(Simulated Annealing,简称SA算法)是模拟加热熔化的金属的退火过程,来寻找全局最优解的有效方法之一。-Simulated Annealing algorithm (Simulated Annealing algorithm, hereinafter referred to as SA) is simulation heating the molten metal the Annealing process, to search for the optimal so
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自由始端和终端的动态规划,求指标函数最小值的逆序算法递归计算程序。-Simulated annealing algorithm
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模拟退火算法得益于材料的统计力学的研究成果。统计力学表明材料中粒子的不
同结构对应于粒子的不同能量水平。在高温条件下,粒子的能量较高,可以自由运动和
重新排列。在低温条件下,粒子能量较低。如果从高温开始,非常缓慢地降温(这个过
程被称为退火),粒子就可以在每个温度下达到热平衡。当系统完全被冷却时,最终形
成处于低能状态的晶体。-simulated annealing
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模拟退火算法源程序,希望对大家有帮助,好的话大家多好评-Simulated annealing algorithm source code
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模拟退火算法(Simulated Annealing,SA),基于Mente-Carlo迭代求解策略的一种随机寻优算法-Simulated Annealing algrithm
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模拟退火算法是领域随机搜索算法的一种改进——加入概率接受准则,是十分简单的一种智能优化算法,本源码是用于求解TSP问题的模拟退火算法源程序-The simulated annealing algorithm is random search algorithm of field an improved-join probability accept criterion, it is very simple a kind of intelligent optimization algorithm,
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非经典优化算法模拟退火PPT,学习数学建模有用-Simulated Annealing
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适用于油田探井布局计算的快速模拟退火算法matlab程序。-The calculation applies to oil field exploration wells layout fast simulated annealing algorithm matlab program.
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使用模拟退火方法解决了TSP问题,改进了过程中可能丢失最优解的问题-Optimal solution may be lost in the process of using the simulated annealing method to solve the TSP problem, improved
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改程序是基于模拟退火的粒子群算法,修改参数可用。-The reform program is based on simulated annealing particle swarm algorithm, modify the parameters are available.
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