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Authors: Guang Peng ; Zhihao Shang and Katinka Wolter

Affiliation: Department of Mathematics and Computer Science, Free University of Berlin, Takustr. 9, Berlin and Germany

Keyword(s): Multiobjective Optimization, Evolutionary Computation, Decomposition, Artificial Bee Colony, Adaptive Normalization.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Soft Computing ; Swarm/Collective Intelligence

Abstract: This paper presents a multiobjective artificial bee colony (ABC) algorithm using the decomposition approach for improving the performance of MOEA/D (multiobjective evolutionary algorithm based on decomposition). Using a novel reproduction operator inspired by ABC, we propose MOEA/D-ABC, a new version of MOEA/D. Then, a modified Tchebycheff approach is adopted to achieve higher diversity of the solutions. Further, an adaptive normalization operator can be incorporated into MOEA/D-ABC to solve the differently scaled problems. The proposed MOEA/D-ABC is compared to several state-of-the-art algorithms on two well-known test suites. The experimental results show that MOEA/D-ABC exhibits better convergence and diversity than other MOEA/D algorithms on most instances.

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Paper citation in several formats:
Peng, G.; Shang, Z. and Wolter, K. (2019). A Multiobjective Artificial Bee Colony Algorithm based on Decomposition. In Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - ECTA; ISBN 978-989-758-384-1; ISSN 2184-3236, SciTePress, pages 188-195. DOI: 10.5220/0008167801880195

@conference{ecta19,
author={Guang Peng. and Zhihao Shang. and Katinka Wolter.},
title={A Multiobjective Artificial Bee Colony Algorithm based on Decomposition},
booktitle={Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - ECTA},
year={2019},
pages={188-195},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008167801880195},
isbn={978-989-758-384-1},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - ECTA
TI - A Multiobjective Artificial Bee Colony Algorithm based on Decomposition
SN - 978-989-758-384-1
IS - 2184-3236
AU - Peng, G.
AU - Shang, Z.
AU - Wolter, K.
PY - 2019
SP - 188
EP - 195
DO - 10.5220/0008167801880195
PB - SciTePress