DocumentCode :
3385632
Title :
Multi-population Binary Ant Colony Algorithm for the Horizontal Manufacturing Collaborative Alliance
Author :
Ping, Wei ; Xiong, Wei-qing
Author_Institution :
Inst. of Electron. Commerce & Logistics, Ningbo Univ., Zhejiang, China
Volume :
3
fYear :
2010
fDate :
9-10 Oct. 2010
Firstpage :
83
Lastpage :
88
Abstract :
Horizontal Manufacturing Collaborative Alliance (HMCA) is to minimize the comprehensive cost and balance the production loads among the selected manufacturing enterprises. An algorithm named Multi-population Binary Ant Colony Algorithm with Hybrid Behaviors (MPBAHB) is designed. On the basis of Binary Ant Colony Algorithm (BACA), two strategies of zoning and environmental evaluation/reward were introduced to compensate for the difficulty of getting multiple solutions at the same time. Moreover, a searching behavior named “central disturbing” was introduced to BACA, so as to strengthen the searching ability. The experimental prove that the algorithm can get better solutions while keeping the distribution of Pareto front.
Keywords :
Pareto optimisation; manufacturing industries; Pareto front; central disturbing; horizontal manufacturing collaborative alliance; hybrid behaviors; manufacturing enterprises; multipopulation binary ant colony algorithm; production loads; Binary ant colony algorithm; Horizontal manufacturing collaborative alliance; Hybrid behavior; Multi-objective; Multi-population;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Information Technology and Management Engineering (FITME), 2010 International Conference on
Conference_Location :
Changzhou
Print_ISBN :
978-1-4244-9087-5
Type :
conf
DOI :
10.1109/FITME.2010.5654807
Filename :
5654807
Link To Document :
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