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Authors: Si-Jung Ryu 1 ; Jong-Hwan Kim 1 and Ki-Baek Lee 2

Affiliations: 1 Korea Advanced Institute of Science and Technology, Korea, Republic of ; 2 Kwangwoon University, Korea, Republic of

ISBN: 978-989-758-052-9

Keyword(s): Multiobjective evolutionary Algorithm, Quantum-inspired evolutionary algorithm, Preference-based evolutionary Algorithm.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Evolutionary Multiobjective Optimization ; Soft Computing

Abstract: This paper proposes dual multiobjective quantum-inspired evolutionary algorithm (DMQEA) with the dualstage of dominance check by introducing secondary objectives in addition to primary objectives. The secondary objectives are to maximize global evaluation values and crowding distances of the solutions in the external global population obtained for the primary objectives and the previous archive obtained from the secondary objectives-based nondominated sorting. By employing the secondary objectives for sorting the solutions in each generation, DMQEA can induce the balanced exploration of the solutions in terms of user’s preference and diversity to generate preferable and diverse nondominated solutions in the archive. To demonstrate the effectiveness of the proposed DMQEA, empirical comparisons with MQEA, MQEA-PS, and NSGA-II are carried out for benchmark functions.

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Paper citation in several formats:
Ryu, S.; Kim, J. and Lee, K. (2014). DMQEA: Dual Multiobjective Quantum-inspired Evolutionary Algorithm.In Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2014) ISBN 978-989-758-052-9, pages 207-214. DOI: 10.5220/0005071802070214

@conference{ecta14,
author={Si{-}Jung Ryu. and Jong{-}Hwan Kim. and Ki{-}Baek Lee.},
title={DMQEA: Dual Multiobjective Quantum-inspired Evolutionary Algorithm},
booktitle={Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2014)},
year={2014},
pages={207-214},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005071802070214},
isbn={978-989-758-052-9},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2014)
TI - DMQEA: Dual Multiobjective Quantum-inspired Evolutionary Algorithm
SN - 978-989-758-052-9
AU - Ryu, S.
AU - Kim, J.
AU - Lee, K.
PY - 2014
SP - 207
EP - 214
DO - 10.5220/0005071802070214

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