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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