[1]陈 杰,辛 斌,窦丽华.关于智能优化方法的集聚性与弥散性问题[J].智能系统学报,2007,2(2):48-56.
CHEN Jie,XIN Bin,DOU Li-hua.Centralization and decentralization of intelligent optimization[J].CAAI Transactions on Intelligent Systems,2007,2(2):48-56.
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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
2
期数:
2007年第2期
页码:
48-56
栏目:
学术论文—人工智能基础
出版日期:
2007-04-25
- Title:
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Centralization and decentralization of intelligent optimization
- 文章编号:
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1673-4785(2007)02-0048-09
- 作者:
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陈 杰,辛 斌,窦丽华
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北京理工大学信息科学技术学院,北京100081
- Author(s):
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CHEN Jie,XIN Bin,DOU Li-hua
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School of Information Science and Technology, Beijing Institute of Technology, Beijing 10008 1, China
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- 关键词:
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智能优化方法; 集聚性与弥散性; 机制融合; 算法进化
- Keywords:
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intelligent optimization; centralization and decentralization; mechani sm combination; algorithm evolution
- 分类号:
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TP18
- 文献标志码:
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A
- 摘要:
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在简要叙述智能优化方法中机制产生的原理和方式的基础上,引入了智能优化算法所应具有的2种基本属性——集聚性和弥散性.描述了二者与算法收敛性的关系,指出了二者对于分析和构造算法的重要性,并结合实例进行了分析.最后根据算法的集聚性与弥散性,从算法群体进化角度研究了算法中的机制融合方法并结合实例进行了说明
- Abstract:
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On the basis of a brief analysis of principles and means for the gener ation of mechanisms in intelligent optimization, centralization and decentraliza tion, that are basic properties of intelligent optimization, are introduced. The relationship between these two properties and convergence is described. The sig nificance of these two properties to analysis and construction of algorithms is proposed. Finally, using an example based on the centralization and decentraliza tion of intelligent optimization, the mechanism combination of algorithm is expl ored from the point of view of population evolution. The practical examples are given.
更新日期/Last Update:
2009-05-06