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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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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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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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Multi-Objective Artificial Bee Colony Algorithm
2015 International Conference on Computational Intelligence and Communication Networks (CICN), 2015In order to approach the true Pareto front as fast as possible and make the distribution of solutions uniform on multi-objective optimization problems, a multi-objective optimization algorithm based on artificial bee colony algorithm has been presented in this paper, named MABC.
Yanjiao Wang, Yaojie Li
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Artificial Bee Colony Programming Made Faster
2009 Fifth International Conference on Natural Computation, 2009The artificial bee colony (ABC) algorithm is a stochastic, population-based evolutionary method that can be applied to a wide range of problems, including global optimization. The paper proposes a variation on the traditional ABC algorithm, called the artificial bee colony programming, or ABCP, employing randomized distribution, bit hyper-mutation and ...
Liu XingBao, Cai ZiXing
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