Please use this identifier to cite or link to this item:
|Title:||A quantum multi-agent evolutionary algorithm for selection of partners in a virtual enterprise|
Quantum multi-agent evolutionary algorithm
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 15, 2018
WEB OF SCIENCETM
checked on Jan 31, 2018
checked on Feb 12, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.