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改进的正态分布的分布估计算法
引用本文:邱玲,高 尚,曹存根.改进的正态分布的分布估计算法[J].计算机科学,2015,42(8):32-35.
作者姓名:邱玲  高 尚  曹存根
作者单位:人工智能四川省高校重点实验室 自贡643000,江苏科技大学计算机科学与工程学院 镇江212003,中国科学院计算所智能信息处理重点实验室 北京100190
基金项目:本文受人工智能四川省重点实验室开放基金(2012RYJ04),中科院智能信息处理重点实验室开放课题(IIP2013-1)资助
摘    要:针对连续空间函数优化问题,提出了改进的正态分布的分布估计算法。该算法将优选出的个体看作正态分布,然后以正态分布概率模型随机采样产生新的种群,并挑选部分个体与保留的最好解进行交叉操作。将其与均匀分布的分布估计算法、正态分布的分布估计算法进行了比较,结果证明该方法的效果更好。最后分析了选择较好个体的比例对算法的影响。

关 键 词:分布估计算法  连续空间优化  正态分布  均匀分布

Improved Estimation of Distribution Algorithms Based on Normal Distribution
QIU Ling,GAO Shang and CAO Cun-gen.Improved Estimation of Distribution Algorithms Based on Normal Distribution[J].Computer Science,2015,42(8):32-35.
Authors:QIU Ling  GAO Shang and CAO Cun-gen
Affiliation:Artificial Intelligence Key Laboratory of Sichuan Province,Zigong 643000,China,School of Computer Science and Engineering,Jiangsu University of Science and Technology,Zhenjiang 212003,China and Key Lab of Intelligent Information Processing of Chinese Academy of SciencesCAS, Institute of Computing Technology,CAS,Beijing 100190,China
Abstract:An improved estimation of distribution algorithm based on normal distribution was presented for function optimization in continuous space.The algorithm regards the selected individual as a normal distribution,and the random new populations of normal distribution are generated,and some selected individuals are crossed with the best solution.Compared with estimation of distribution algorithm based on uniform distribution and estimation of distribution algorithm based on normal distribution,the improved estimation of distribution algorithm based on normal distribution is more effective through result.At last,the influence of better population selection proportions was analyzed.
Keywords:Estimation of distribution algorithm  Continuous space optimization  Normal distribution  Uniform distribution
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