Artificial bee colony algorithm with time-varying strategyTools Qin, Quande, Cheng, Shi, Zhang, Qingyu, 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 Full text not available from this repository.
Official URL: https://www.hindawi.com/journals/ddns/2015/674595/
AbstractArtificial 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.
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