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Shuffled artificial bee colony algorithm
Soft Computing, 2016In this study, we have introduced a hybrid version of artificial bee colony (ABC) and shuffled frog-leaping algorithm (SFLA). The hybrid version is a two-phase modification process. In the first phase to increase the global convergence, the initial population is produced using randomly generated and chaotic system, and then in the second phase to ...
Tarun Kumar Sharma, Millie Pant
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Balanced artificial bee colony algorithm
International Journal of Artificial Intelligence and Soft Computing, 2013Artificial bee colony ABC optimisation algorithm is relatively a recent and simple population-based probabilistic approach for global optimisation over continuous and discrete spaces. It has reportedly outperformed a few evolutionary algorithms EAs and other search heuristics when tested over both benchmark and real world problems.
Jagdish Chand Bansal +3 more
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Artificial bee colony algorithm: a survey
International Journal of Advanced Intelligence Paradigms, 2013In recent years, swarm intelligence has proven its importance for the solution of those problems that cannot be easily dealt with classical mathematical techniques. The foraging behaviour of honey bees produces an intelligent social behaviour and falls in the category of swarm intelligence.
Jagdish Chand Bansal +2 more
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A grey artificial bee colony algorithm
Applied Soft Computing, 2017Grey relational analysis is used to decide the relation of closeness of the employed bee with respect to its neighbor.The chosen neighbor individual is employed to guide the evolutionary process.A ...
Wanli Xiang +4 more
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Artificial Bee Colony Algorithm
2020This research focused on introduction to the Artificial Bee Colony (ABC) algorithm, the foraging behavior and waggle dance of honeybees while passing information about a given food source to the rest of the bee colony. The mathematical modelling and real-life application of the bee algorithm in fast moving grocery retail outlet was presented, the ...
Modestus O. Okwu, Lagouge K. Tartibu
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Artificial bee colony algorithm with memory
Applied Soft Computing, 2016Graphical abstractDisplay Omitted HighlightsArtificial bee colony with memory algorithm (ABCM) is proposed.ABCM introduces the memory ability of natural honeybees to ABC.ABCM is designed as simply as possible for easy implementation.Experiments on the benchmark functions show the superiority of ABCM.It bridges the gap between ABC and the neuroscience ...
Xianneng Li, Guangfei Yang
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Expedited Artificial Bee Colony Algorithm
2014Artificial Bee Colony (ABC) is one of the latest and emerging swarm intelligence algorithms. Though, there are some areas where ABC works better than other optimization techniques but, the drawbacks like stucking at local optima and preferring exploration at the cost of exploitation, are also associated with it. This paper uses position update equation
Shimpi Singh Jadon +3 more
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A novel binary artificial bee colony algorithm
Future Generation Computer Systems, 2019Abstract This paper presents a novel artificial bee colony algorithm for binary optimization in general. Our proposal, named NBABC, features a mechanism which limits the number of dimensions that can be changed in the employed and onlookers bees’ phase.
Clodomir J. Santana Jr. +4 more
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An Astute Artificial Bee Colony Algorithm
2017Artificial bee colony (ABC) algorithm is one of the most popular optimization methods for global optimization over real-valued parameters. Though it has been shown very competitive to other natureinspired methods, it suffers from some challenging problems, e.g., slow convergence speed while solving unimodal problems, local optima stagnation (premature ...
Avadh Kishor +2 more
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An improved artificial bee colony algorithm for clustering
Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, 2014Artificial Bee Colony (ABC) algorithm, which was initially proposed for numerical function optimization, has been increasingly used for clustering. However, when it is directly applied to clustering, the performance of ABC is lower than expected. This paper proposes an improved ABC algorithm for clustering, denoted as EABC.
Qiuhang Tan +3 more
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