Partner Selection Model on Bidding alliance for BOT Projects Based on Modified Auto-adapted Ant Colony Algorithm

被引：1
|
作者：
Yu, Yonghe [1 ]
Ma, Weimin [1 ]
Li, Suyan [2 ]
Li, Guo [3 ]
机构：
[1] Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China
[2] Nanning City Planning & Adm Bur, Nanning 530022, Peoples R China
[3] Huazhong Univ Sci & Technol, Sch Management, Wuhan 430074, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL II, PROCEEDINGS | 2009年
基金：
中国国家自然科学基金;
关键词：
BOT projects; bidding alliance; partner selection; ant colony algorithm;
D O I：
10.1109/AICI.2009.122
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Bidding alliance partner selection is a key problem for bidding alliance formation, and it has the characteristics of multi-objective decision-making. In order to overcome the traditional partner evaluation's weakness, such as single goal oriented or a single process oriented, 0-1 integer programming model for selecting multi-partner in multi-projects was constructed to minimize the comprehensive evaluation value, which was based on cost, financing, risks, and quality indexes. According to characteristics of this problem, principle of Ant colony algorithm was analyzed. Based on basic ant colony algorithm, transition probability was improved and information coefficient was auto-adapted, which better realized the global optimization and fast convergence. Finally the numerical analysis showed this method was more accurate and could get better solution compared to genetic algorithm and the basic ant colony algorithm. This method could solve multi-objective decision-making problem, such as alliance partner selection.
引用
收藏
页码：240 / +
页数：2
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