Description: 模拟退火算法是为了避免求解最优化出现局部极值的问题而提出的算法，保证最终的结果是全局最优的，该matlab源程序能在matlab环境中实现-simulated annealing method is the best solution in order to avoid a partial optimization of extreme concern raised by the algorithm to ensure that the final result is that the global optimum, the source Matlab can achieve Matlab environment Platform: |
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Author:yj |
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Description: 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，对当前解重复“产生新解→计算目标函数差→接受或舍弃”的迭代，并逐步衰减t值，算法终止时的当前解即为所得近似最优解，这是基于蒙特卡罗迭代求解法的一种启发式随机搜索过程。退火过程由冷却进度表(Cooling Schedule)控制，包括控制参数的初值t及其衰减因子Δt、每个t值时的迭代次数L和停止条件S。
-simulated annealing algorithm derived from solid annealing method, the heating to the full solid, let its slowly cooling, heating, solid particles with internal temperature rise-into disorder, which can increase, and slowly cooling gradual and orderly particles in each temperature has reached equilibrium, in the end when the temperature reached to ground state, which can be reduced to the minimum. According to the Metropolis criteria particles at a temperature T leveling the probability of e- E/(kT), in which the E-T when the temperature within, E capacity for change, for the Boltzmann constant k. Solid simulated annealing combinatorial optimization problems, will be able to target E simulation function f, T evolved temperature control parameters t, that is to be solving combinatorial o Platform: |
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Author:刘明 |
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Description: 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，对当前解重复“产生新解→计算目标函数差→接受或舍弃”的迭代，并逐步衰减t值，算法终止时的当前解即为所得近似最优解，这是基于蒙特卡罗迭代求解法的一种启发式随机搜索过程。退火过程由冷却进度表(Cooling Schedule)控制，包括控制参数的初值t及其衰减因子Δt、每个t值时的迭代次数L和停止条件S。
-simulated annealing algorithm derived from solid annealing method, the heating to the full solid, let its slowly cooling, heating, solid particles with internal temperature rise-into disorder, which can increase, and slowly cooling gradual and orderly particles in each temperature has reached equilibrium, in the end when the temperature reached to ground state, which can be reduced to the minimum. According to the Metropolis criteria particles at a temperature T leveling the probability of e- E/(kT), in which the E-T when the temperature within, E capacity for change, for the Boltzmann constant k. Solid simulated annealing combinatorial optimization problems, will be able to target E simulation function f, T evolved temperature control parameters t, that is to be solving combinatorial o Platform: |
Size: 6144 |
Author:刘明 |
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Description: For the incomplete methods, we kept the representation of the queens by a table and the method of calculation to determine if two queens are in conflict, which is much faster for this kind of problems than the representation by a matrix.
heuristics: descent.
Tests: 100 queens in less than 1 second and 67 iterations. 500 queens in 1 second and 257 iterations. 1000 queens in 11 seconds and 492 iterations.
heuristics: Simulated annealing.
Tests: 100 queens in less than 1 second and 47 iterations. 500 queens in 5 seconds and 243 iterations. 1000 queens in 13 seconds and 497 iterations.
heuristics: based on Simulated Annealing.
Tests: 100 queens in less than 1 second and 60 iterations. 500 queens in 1 second and 224 iterations. 1000 queens in 5 seconds and 459 iterations. 10 000 queens in 20 minutes 30 seconds and 4885 iterations.
-For the incomplete methods, we kept the representation of the queens by a tab le and the method of calculation to determine if two queens are in conflict, which is much faster for this kind of problems th an the representation by a matrix. heuristics : descent. Tests : 100 queens in less than a second and 67 iteration s. 500 queens in a second and 257 iterations. 100 queens 0 in 11 seconds and 492 iterations. heuri stics : Simulated annealing. Tests : 100 queens in less than a second and 47 iteration s. 500 queens in 5 seconds and 243 iterations. 10 00 queens in 13 seconds and 497 iterations. heur istics : based on Simulated Annealing. Tests : 100 queens in less than a second and 60 iteration s. 500 queens in a second and 224 iterations. 100 0 queens in 5 seconds and 459 iterations. q 1 Platform: |
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Author:ZHU |
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Description: 因课程需要，编写了C语言的模拟退火算法，其中随机数的产生方法至关重要。-curriculum needs, the preparation of the C language simulated annealing algorithm, the number of random selection is crucial. Platform: |
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Author:漫游 |
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Description: 这是一款基于vc编写的模拟退火算法，界面简洁易用，并附有源代码，希望对大家学习有所帮助-This is a vc prepared based on simulated annealing algorithm, the interface simple and easy-to-use, with source code, and they hope to help them to learn Platform: |
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Author:yaoxingyu |
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Description: 模拟退火算法解决stp问题的例程，直接运行即可，可以通过改变参数得到不同的图。-simulated annealing algorithm to solve the problem stp routines, can be run directly. by changing the parameters can be different plans. Platform: |
Size: 1024 |
Author:刘惠 |
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Description: 基于C++语言的改进TSP模拟退火算法.-based on the C language to improve TSP simulated annealing algorithm. Platform: |
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Author:zhangtao |
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Description: 模拟退火程序:这部分代码是模式识别中结合模拟退火法的特征提取，大家可以对其进行简单的改进会获得更好的效果，比如改变温度表，加上“记忆体”，结合遗传算法等
-simulated annealing procedures : This code is part of pattern recognition in combination with simulated annealing method of feature extraction, you can perform simple improvements will be better results, such as changes in thermometers, the words "memory" combining genetic algorithm Platform: |
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Author:天才 |
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Description: 模拟退火算法.里面有很多的例子可以参考.解压后在matlab平台下运行.-simulated annealing algorithm. There are many examples of reference. Unpacked in Matlab platforms. Platform: |
Size: 216064 |
Author:吴天浩 |
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Description: vb的波尔兹曼机（含模拟退火算法），有需要的可参考一下
-vb the Boltzmann machine (with simulated annealing algorithm), the need of a reference Platform: |
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Author:张耀天 |
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Description: anneal_SimulatedAnnealing.rar用C语言编写，能弥补Matlab中无现成模拟退火算法函数的不足-anneal_SimulatedAnnealing.rar C language, Matlab can make up for the non-existing simulated annealing function of inadequate Platform: |
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Author:wang |
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Search - Simulated Annealing