Description: 89年由Johnson发表的Simulate Anealing退火算法,重要的近似算法之一-89-year Johnson released from Simulate Anealing annealing algorithm, it is important to one of approximation algorithm Platform: |
Size: 2074624 |
Author:Goliath |
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Description: 很简单的一个函数，用来牛顿法来计算它的极值，可以修改成通用函数-Simulate a very simple function that is used Newton s method to calculate its extreme, can be modified into a universal function of annealing process Platform: |
Size: 5120 |
Author:caden |
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Description: 热力学遗传算"~-(therm odynamical genetic algorithms，简称TDGA)借鉴固体退火过程中能量与熵的竞争
模式来协调GA 中“选择压力”和“种群多样性”之间的冲突．然而TDGA 目前极高的计算代价限制了其应用．为了提
高TDGA的计算效率，首先定义一种等级熵(rating—based entropy,J~j称RE)度量方法，它能以较小的计算成本度量种
群中个体适应值的分散程度．然后引入分量热力学替换规则(component thermod)rnamical replacement，简称CTR)，有
效地降低了替换规则的复杂度．同时也证明了CTR规则具有驱动种群自由能近似最速下降的能力．在0．1背包问题
上的实验结果表明，RE 方法和CTR规则在保持TDGA良好的性能与稳定性的同时，极大地提高了其计算效率．-Thermodynamical genetic algorithms(TDGA)simulate the competitive model between energy and
entropy in annealing to harmonize the conflicts between selective pressure and population diversity in GA．But high
computational cost restricts the applications of TDGA．In order to improve the computational efi ciency，a
measurement method of rating—based entropy(RE)is proposed．The RE method can measure the fitness dispersal
with low computational cost．Then a component therm odynamical replacement(CTR)rule is introduced to reduce
the complexity of the replacement，and it is proved that the CTR rule has the approximate steepest descent ability of
the population free energy．Experimental results on 0-1 knapsack problems show that the RE method and the CTR
rule not only maintain the excellent perform ance and stability of TDGA，but also remarkably improve the
computational efi ciency of TDGA． Platform: |
Size: 384000 |
Author:郭事业 |
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Description: 非常简单容易的模拟退火算法源程序，非常适合新手学习使用-Very simple and easy source of simulated annealing algorithm is very suitable for beginners to learn to use Platform: |
Size: 1024 |
Author:潘潘 |
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Description: 模拟退火算法(Simulate Anneal Arithmetic,SAA)，模拟退火算法(Simulate Anneal Arithmetic,SAA)是一种通用概率演算法,用来在一个大的搜寻空间内找寻命题的最优解-The simulated annealing algorithm is the probability of a universal algorithm is used to find the optimal solution of the proposition in a large search space Platform: |
Size: 2048 |
Author:李旭光 |
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Description: 一个模拟退火算法，SAOPT.m为主程序，内有调用形式，CreateNew.m为生成新的解法的函数，Energy.m为解的能量值函数，将在本程序中被最小化-A simulated annealing algorithm, SAOPT.m-based procedures, which are called forms, CreateNew.m to generate new solutions function, Energy.m for the solution of the energy value of the function in this program will be minimized Platform: |
Size: 2048 |
Author: |
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Description: 用来仿真模拟退火过程中的退火过程。这个过程在退火过程中，模拟退火步骤。-Used to simulate the process of simulated annealing annealing process. Platform: |
Size: 1024 |
Author:Alex |
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Description: 利用有记忆的模拟退火算法求解非线性整数规划问题，在考虑到购物要求、分布均衡要求、经济效益、潜在利益、就业效益的情况下如何在北京奥运会主场馆周边地区建设商业点，满足奥运会期间的购物需求、分布基本均衡和商业上盈利。(The memory simulated annealing algorithm is used to solve the non-linear integer programming problem. Considering the shopping requirements, distribution equilibrium requirements, economic benefits, potential benefits and employment benefits, how to build commercial sites around the main venues of the Beijing Olympic Games to meet the shopping needs, distribution equilibrium and commercial profits during the Olympic Games is discussed.) Platform: |
Size: 1024 |
Author:刘谋谋 |
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