Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.cirp.2010.03.120
Title: A quantum multi-agent evolutionary algorithm for selection of partners in a virtual enterprise
Authors: Tao, F.
Zhang, L.
Zhang, Z.H.
Nee, A.Y.C. 
Keywords: Decision-making
Optimization
Quantum multi-agent evolutionary algorithm
Issue Date: 2010
Source: Tao, F., Zhang, L., Zhang, Z.H., Nee, A.Y.C. (2010). A quantum multi-agent evolutionary algorithm for selection of partners in a virtual enterprise. CIRP Annals - Manufacturing Technology 59 (1) : 485-488. ScholarBank@NUS Repository. https://doi.org/10.1016/j.cirp.2010.03.120
Abstract: Combining agents and quantum-bit, a novel quantum multi-agent evolutionary algorithm (QMAEA) for addressing partner selection problems (PSP) in a virtual enterprise is proposed. In QMAEA, each agent represented by a quantum-bit is defined as a candidate solution, and agents can reproduce, perish, compete for survival, observe and communicate with the environment. Operators such as energy evaluation, competition, crossover, mutation, and trimming are designed to specify the evolvement of QMAEA. Three evolutionary strategies are designed to balance the exploration and exploitation of QMAEA. The effectiveness and scalability of the proposed QMAEA in addressing PSP is demonstrated with experimental results and comparisons. © 2010 CIRP.
Source Title: CIRP Annals - Manufacturing Technology
URI: http://scholarbank.nus.edu.sg/handle/10635/54755
ISSN: 00078506
DOI: 10.1016/j.cirp.2010.03.120
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