Diversifying search in bee algorithms for numerical optimisation

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.

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

• Journal Article Type: Conference Paper
• 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
• 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