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Authors: Cuicui Yang and Junzhong Ji

Affiliation: Beijing University of Technology and Beijing Municipal Key Laboratory of Multimedia and Intelligent Software, China

Keyword(s): Bacterial Foraging Optimization, Archive Strategy, Conjugation, Multiobjective Optimization.

Related Ontology Subjects/Areas/Topics: Evolutionary Computation ; Pattern Recognition ; Stochastic Methods ; Theory and Methods

Abstract: Multiobjective optimization problems widely exist in engineering application and science research. This paper presents an archive bacterial foraging optimizer to deal with multiobjective optimization problems. Under the concept of Pareto dominance, the proposed algorithm uses chemotaxis, conjugation, reproduction and elimination-and-dispersal mechanisms to approximate to the true Pareto fronts in multiobjective optimization problems. In the optimization process, the proposed algorithm incorporates an external archive to save the nondominated solutions previously found and utilizes the crowding distance to maintain the diversity of the obtained nondominated solutions. The proposed algorithm is compared with two state-of-the-art algorithms on four standard test problems. The experimental results indicate that our approach is a promising algorithm to deal with multiobjective optimization problems.

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Paper citation in several formats:
Yang, C. and Ji, J. (2016). Multiobjective Bacterial Foraging Optimization using Archive Strategy. In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-173-1; ISSN 2184-4313, SciTePress, pages 185-192. DOI: 10.5220/0005668601850192

@conference{icpram16,
author={Cuicui Yang. and Junzhong Ji.},
title={Multiobjective Bacterial Foraging Optimization using Archive Strategy},
booktitle={Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2016},
pages={185-192},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005668601850192},
isbn={978-989-758-173-1},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Multiobjective Bacterial Foraging Optimization using Archive Strategy
SN - 978-989-758-173-1
IS - 2184-4313
AU - Yang, C.
AU - Ji, J.
PY - 2016
SP - 185
EP - 192
DO - 10.5220/0005668601850192
PB - SciTePress

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