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

id	sg-nus-scholar.10635-85586
record_format	dspace
spelling	sg-nus-scholar.10635-855862024-11-10T21:19:50Z QMAEA: A quantum multi-agent evolutionary algorithm for multi-objective combinatorial optimization Tao, F. Laili, Y.J. Zhang, L. Zhang, Z.H. Nee, A.Y.C. MECHANICAL ENGINEERING 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) 10.1177/0037549713485894 Simulation 90 2 182-204 SIMUA 2014-10-07T09:09:45Z 2014-10-07T09:09:45Z 2014-02 Article Tao, F., Laili, Y.J., Zhang, L., Zhang, Z.H., Nee, A.Y.C. (2014-02). QMAEA: A quantum multi-agent evolutionary algorithm for multi-objective combinatorial optimization. Simulation 90 (2) : 182-204. ScholarBank@NUS Repository. https://doi.org/10.1177/0037549713485894 00375497 http://scholarbank.nus.edu.sg/handle/10635/85586 000337570300006 Scopus
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	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)
spellingShingle	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) Tao, F. Laili, Y.J. Zhang, L. Zhang, Z.H. Nee, A.Y.C. QMAEA: A quantum multi-agent evolutionary algorithm for multi-objective combinatorial optimization
description	10.1177/0037549713485894
author2	MECHANICAL ENGINEERING
author_facet	MECHANICAL ENGINEERING Tao, F. Laili, Y.J. Zhang, L. Zhang, Z.H. Nee, A.Y.C.
format	Article
author	Tao, F. Laili, Y.J. Zhang, L. Zhang, Z.H. Nee, A.Y.C.
author_sort	Tao, F.
title	QMAEA: A quantum multi-agent evolutionary algorithm for multi-objective combinatorial optimization
title_short	QMAEA: A quantum multi-agent evolutionary algorithm for multi-objective combinatorial optimization
title_full	QMAEA: A quantum multi-agent evolutionary algorithm for multi-objective combinatorial optimization
title_fullStr	QMAEA: A quantum multi-agent evolutionary algorithm for multi-objective combinatorial optimization
title_full_unstemmed	QMAEA: A quantum multi-agent evolutionary algorithm for multi-objective combinatorial optimization
title_sort	qmaea: a quantum multi-agent evolutionary algorithm for multi-objective combinatorial optimization
publishDate	2014
url	http://scholarbank.nus.edu.sg/handle/10635/85586
_version_	1821224405870575616

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

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