Muharrem D�g?enci
Diversifying search in bee algorithms for numerical optimisation
D�g?enci, Muharrem; Aydin, Mehmet Emin
Authors
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. Trawi?ski
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.
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | ICCCI 2018 |
Start Date | Sep 5, 2018 |
End Date | Sep 7, 2018 |
Acceptance Date | Jun 10, 2018 |
Online Publication Date | Aug 8, 2018 |
Publication Date | Jan 1, 2018 |
Deposit Date | Aug 28, 2018 |
Publicly Available Date | Sep 28, 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 |
DOI | https://doi.org/10.1007/978-3-319-98446-9_13 |
Keywords | swarm intelligence, numerical optimisation, bee-inspired algorithms, diversification and intensification |
Public URL | https://uwe-repository.worktribe.com/output/862513 |
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 |
Contract Date | Sep 28, 2018 |
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