| 动态联盟合作伙伴的选择过程与方法 |
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| 引用本文： | 卢少华.动态联盟合作伙伴的选择过程与方法[J].系统管理学报,2003,12(2):102-105. |
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| 作者姓名： | 卢少华 |
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| 作者单位： | 东南大学,电气工程系,南京,210096 |
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| 基金项目： | 国家 8 63 / CIMS主题资助项目 ( 2 0 0 1AA4113 40) |
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| 摘 要： | 动态联盟使企业具有快速适应不断变化的市场需求的能力。企业组建动态联盟 ,首先就面临着合作伙伴的选择问题。由于盟员选择过程的复杂性 ,一些非结构化的优化方法得到应用。本文讨论了动态联盟合作伙伴的选择过程和基本方法 ,并研究了应用遗传算法和聚类方法实现盟员选择 ,指出了遗传算法选择盟员的不足之处以及聚类方法的优点。
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| 关 键 词： | 动态联盟 盟员选择 聚类方法 遗传算法 |
| 文章编号： | 1005-2542(2003)02-0102-04 |
| 修稿时间： | 2002年7月30日 |
The Process and Methods of Member Selection in AVE |
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| LU Shao,hua.The Process and Methods of Member Selection in AVE[J].Systems Engineering Theory·Methodology·Applications,2003,12(2):102-105. |
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| Authors: | LU Shao hua |
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| Abstract: | Agile virtual enterprise (AVE) provides enterprises with abilities of quick market fitting. Member selection is the first issue to construct AVE. Some non structure methods rise due to complexity of member selection process, which are discussed here, followed with some basic member selection methods. GA and cluster method are studied specifically. The flaw of GA and the advantage of cluster method are pointed out. |
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| Keywords: | agile virtual enterprise member selection cluster method genetic algorithms |
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