TY - GEN
T1 - Partner selection model on bidding alliance for BOT projects based on modified auto-adapted ant colony algorithm
AU - Yu, Yonghe
AU - Ma, Weimin
AU - Li, Suyan
AU - Li, Guo
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Ant colony algorithm
KW - BOT projects
KW - Bidding alliance
KW - Partner selection
UR - http://www.scopus.com/inward/record.url?scp=77949276572&partnerID=8YFLogxK
U2 - 10.1109/AICI.2009.122
DO - 10.1109/AICI.2009.122
M3 - Conference contribution
AN - SCOPUS:77949276572
SN - 9780769538167
T3 - 2009 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009
SP - 240
EP - 244
BT - 2009 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009
T2 - 2009 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009
Y2 - 7 November 2009 through 8 November 2009
ER -