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Diversifying search in bee algorithms for numerical optimisation

Düg̃enci, Muharrem; Aydin, Mehmet Emin

Authors

Muharrem Düg̃enci

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Dr Mehmet Aydin Mehmet.Aydin@uwe.ac.uk
Senior Lecturer in Networks and Mobile Computing



Contributors

N.T. Nguyen
Editor

E. Pimenidis
Editor

Z. Khan
Editor

B. Trawiński
Editor

Abstract

© Springer Nature Switzerland AG 2018. Swarm intelligence offers useful instruments for developing collective behaviours to solve complex, ill-structured and large-scale problems. Efficiency in collective behaviours depends on how to harmonise the individual contributions so that a complementary collective effort can be achieved to offer a useful solution. The harmonisation helps blend diversification and intensification suitably towards efficient collective behaviours. In this study, two renown honeybees-inspired algorithms were analysed with respect to the balance of diversification and intensification and a hybrid algorithm is proposed to improve the efficiency accordingly. The proposed hybrid algorithm was tested with solving well-known highly dimensional numerical optimisation (benchmark) problems. Consequently, the proposed hybrid algorithm has demonstrated outperforming the two original bee algorithms in solving hard numerical optimisation benchmarks.

Journal Article Type Conference Paper
Start Date Sep 5, 2018
Publication Date Jan 1, 2018
Journal Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Print ISSN 0302-9743
Electronic ISSN 1611-3349
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 11056 LNAI
Pages 132-144
Book Title Computational Collective Intelligence
ISBN 9783319984452
APA6 Citation Düg̃enci, M., & Aydin, M. E. (2018). Diversifying search in bee algorithms for numerical optimisation. Lecture Notes in Artificial Intelligence, 11056 LNAI, 132-144. https://doi.org/10.1007/978-3-319-98446-9_13
DOI https://doi.org/10.1007/978-3-319-98446-9_13
Keywords swarm intelligence, numerical optimisation, bee-inspired algorithms, diversification and intensification
Publisher URL https://doi.org/10.1007/978-3-319-98446-9_13
Additional Information Additional Information : The final authenticated version is available online at https://doi.org/10.1007/978-3-319-98446-9_13
Title of Conference or Conference Proceedings : 10th International Conference, ICCCI 2018, Bristol, UK

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