Artificial bee colony algorithm with time-varying strategy

Qin, Quande and Cheng, Shi and Zhang, Qingyu and Li, Li and Shi, Yuhui (2015) Artificial bee colony algorithm with time-varying strategy. Discrete Dynamics in Nature and Society, 2015 . pp. 1-17. ISSN 1607-887X

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Abstract

Artificial bee colony (ABC) is one of the newest additions to the class of swarm intelligence. ABC algorithm has been shown to be competitive with some other population-based algorithms. However, there is still an insufficiency that ABC is good at exploration but poor at exploitation. To make a proper balance between these two conflictive factors, this paper proposed a novel ABC variant with a time-varying strategy where the ratio between the number of employed bees and the number of onlooker bees varies with time. The linear and nonlinear time-varying strategies can be incorporated into the basic ABC algorithm, yielding ABC-LTVS and ABC-NTVS algorithms, respectively. The effects of the added parameters in the two new ABC algorithms are also studied through solving some representative benchmark functions. The proposed ABC algorithm is a simple and easy modification to the structure of the basic ABC algorithm. Moreover, the proposed approach is general and can be incorporated in other ABC variants. A set of 21 benchmark functions in 30 and 50 dimensions are utilized in the experimental studies. The experimental results show the effectiveness of the proposed time-varying strategy.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/747556
Schools/Departments: University of Nottingham Ningbo China > Faculty of Science and Engineering > School of Computer Science
Identification Number: https://doi.org/10.1155/2015/674595
Depositing User: LIN, Zhiren
Date Deposited: 12 Oct 2017 08:23
Last Modified: 04 May 2020 17:04
URI: http://eprints.nottingham.ac.uk/id/eprint/47172

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