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Enhanced compact artificial bee colony
Information Sciences, 2015Challenges in many real-world optimization problems arise from limited hardware availability, particularly when the optimization must be performed on a device whose hardware is highly restricted due to cost or space. This paper proposes a new algorithm, namely Enhanced compact Artificial Bee Colony (EcABC) to address this class of optimization problems.
Banitalebi, Akbar +3 more
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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
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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Binary artificial bee colony optimization
2011 IEEE Symposium on Swarm Intelligence, 2011Artificial bee colony (ABC) optimization is a relatively new population-based, stochastic optimization technique. ABC was developed to optimize unconstrained problems within continuous-valued domains. This paper proposes three versions of ABC that enable it to be applied to optimization problems with binary-valued domains.
G Pampara, A P Engelbrecht
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Escalated convergent artificial bee colony
Journal of Experimental & Theoretical Artificial Intelligence, 2015Artificial bee colony (ABC) optimisation algorithm is a recent, fast and easy-to-implement population-based meta heuristic for optimisation. ABC has been proved a rival algorithm with some popular swarm intelligence-based algorithms such as particle swarm optimisation, firefly algorithm and ant colony optimisation.
Shimpi Singh Jadon +2 more
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Efficient Artificial Bee Colony Optimization
2018Artificial bee colony (ABC) algorithm is one of the proficient meta-heuristic technique in the field of nature inspired algorithms to solve the optimization problems. ABC has been proven itself as better candidate in the field of nature inspired algorithms. But, still it shows some limitations like improper balance betwixt exploration and exploitation,
Ankita Rajawat +2 more
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Artificial Bee Colony based image clustering method
2012 IEEE Congress on Evolutionary Computation, 2012Clustering plays important role in many areas such as medical applications, pattern recognition, image analysis and statistical data analysis. Image clustering is an application of image analysis in order to support high-level description of image content for image understanding where the goal is finding a mapping of the images into clusters.
ÖZTÜRK , Celal +2 more
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Arrhenius Artificial Bee Colony Algorithm
2018The foraging behavior of real honey bees inspired D. Karaboga to develop an algorithm, namely Artificial Bee Colony (ABC) Algorithm. The ABC performs well in comparison to other swarm-based algorithms but has few drawbacks also. Similar to other stochastic techniques, the step size during the position update play a very imperative part in the potential
Sandeep Kumar +2 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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An Improved Artificial Bee Colony Algorithm
2010 2nd International Workshop on Intelligent Systems and Applications, 2010Artificial bee colony (ABC) algorithm is one of the most recently proposed swarm intelligence algorithms for global optimization. It performs well in most cases; however, there still exist some problems it cannot solve very well. This paper presents a novel hybrid Hooke Jeeves ABC (HJABC) algorithm with intensification search based on the Hooke Jeeves ...
Fei Kang +4 more
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