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DQB: A novel dynamic quantitive classification model using artificial bee colony algorithm with application on gene expression profiles. [PDF]
Saudi J Biol Sci, 2018 Alshamlan HM.
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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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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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An improved binary artificial bee colony algorithm
2017 15th International Conference on ICT and Knowledge Engineering (ICT&KE), 2017The xor-based artificial bee colony algorithm, called as binABC, is a novel variant of basic artificial bee colony (ABC) algorithm, which is proposed for solving binary optimization problems. This algorithm uses xor logic operator to search solution space instead of subtraction-based solution update rule of basic ABC due to discrete nature of the ...
Kaya, Ersin, Kiran, Mustafa Servet
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Artificial Bee Colony Algorithm
2019Swarm intelligence and group behavior of honey bees was the inspiration basis of some metaheuristics. The first one is the Artificial Bee Colony (ABC) algorithm which was introduced by Karaboga in 2005 [1] based on the foraging behavior of honey bees. Other algorithms such as bee colony optimization [2] and bees algorithm [3] were also developed which ...
Ali Kaveh, Taha Bakhshpoori
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Dynamic Swarm Artificial Bee Colony Algorithm
International Journal of Applied Evolutionary Computation, 2012Artificial Bee Colony (ABC) optimization algorithm is relatively a simple and recent population based probabilistic approach for global optimization. ABC has been outperformed over some Nature Inspired Algorithms (NIAs) when tested over test problems as well as real world optimization problems.
Harish Sharma +3 more
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