| 改进分布估计算法的协同优化研究 |
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| 引用本文： | 吴红,王维平,王磊,杨峰.改进分布估计算法的协同优化研究[J].计算机工程与应用,2010,46(26):28-30. |
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| 作者姓名： | 吴红 王维平 王磊 杨峰 |
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| 作者单位： | 国防科学技术大学 信息系统与管理学院，长沙 410073 |
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| 摘 要： | 针对分布估计算法在问题求解过程中容易陷入局部最优的缺点，引入物理退火的思想，提出模拟退火的分布估计算法，其中退火温度以信息熵表示。然后以此为基础，面向多核处理器提供的并行计算能力，提出多量子分布估计的协同优化算法。仿真实验表明，该算法缩短了优化时间，提高了优化结果。
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| 关 键 词： | 分布估计算法 物理退火 信息熵 协同优化 |
| 收稿时间： | 2009-7-20 |
| 修稿时间： | 2009-12-1
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Research on cooperative optimization of improved estimation of distribution algorithm |
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| WU Hong,WANG Wei-ping,WANG Lei,YANG Feng.Research on cooperative optimization of improved estimation of distribution algorithm[J].Computer Engineering and Applications,2010,46(26):28-30. |
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| Authors: | WU Hong WANG Wei-ping WANG Lei YANG Feng |
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| Affiliation: | School of Information System and Management，National University of Defense Technology，Changsha 410073，China |
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| Abstract: | For that EDA is easy to fall in local optimum in the process of problem solving,the physical annealing is introduced into this algorithm and the Simulated Annealing Estimation of Distribution algorithm（SAEDA） is put forward,annealing temperature denoted by information entropy.Afterward,based on this, for parallel compute ability proved by multi-core processor, a quantum-behave estimation of distributions cooperative optimization algorithm is put forward.The simulation experiment result shows that the algorithm can shorten optimize time and improve optimize result. |
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| Keywords: | estimation of distribution algorithm physical annealing information entropy cooperative optimization |
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