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货架分配问题的Memetic求解
引用本文:屈爱平. 货架分配问题的Memetic求解[J]. 长江大学学报, 2009, 6(3)
作者姓名:屈爱平
作者单位:怀化学院数学系,湖南,怀化,418008
基金项目:湖南省教育厅项目(08C668)
摘    要:针对超市货架分配问题模型,在文化基因算法(Memetic algorithm)的框架下,采用模拟退火算法和局部搜索相结合的策略对种群进行优化,从不同的区域对解空间进行有效的搜索,提高了算法的效率。数值试验表明,Memetic算法在求解此模型时具有很好的效果。

关 键 词:货架分配问题  Memetie算法  模拟退火算法

Memetic Algorithm for Solving the Problem of Shelf Space Allocation
QU Ai-ping. Memetic Algorithm for Solving the Problem of Shelf Space Allocation[J]. Journal of Yangtze University, 2009, 6(3)
Authors:QU Ai-ping
Affiliation:QU Ai-ping (Huaihua University,Huaihua 418008)
Abstract:A strategy of associative simulated annealing algorithm was adopted and local search was used to optimize the population in the framework of Memetic algorithm aiming at the supermarket shelf space allocation problem.The whole solution space was searched effectively from different regions to improve the efficiency of the algorithm.Numerical experiment indicates that the Memetic algorithm has a good effect for the solution of Yang's model.
Keywords:shelf space allocation  Memetic Algorithm  simulated annealing algorithm  
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