QMAEA: A quantum multi-agent evolutionary algorithm for multi-objective combinatorial optimization

QMAEA: A quantum multi-agent evolutionary algorithm for multi-objective combinatorial optimization

10.1177/0037549713485894

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Bibliographic Details
Main Authors: Tao, F., Laili, Y.J., Zhang, L., Zhang, Z.H., Nee, A.Y.C.
Other Authors: MECHANICAL ENGINEERING
Format: Article
Published: 2014
Subjects:
evolutionary algorithms
multi-objective combinatorial optimization (MOCO)
quantum agent (QAgent)
Quantum bit
quantum multi-agent evolutionary algorithm (QMAEA)
service composition optimal-selection (SCOS)
service-oriented distributed simulation system (SoDSS)
Online Access:http://scholarbank.nus.edu.sg/handle/10635/85586
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Institution: National University of Singapore

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http://scholarbank.nus.edu.sg/handle/10635/85586

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