Results 141 to 150 of about 4,881 (168)

Multi-Objective Artificial Bee Colony Algorithm

2015 International Conference on Computational Intelligence and Communication Networks (CICN), 2015
In 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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Fully informed artificial bee colony algorithm

Journal of Experimental & Theoretical Artificial Intelligence, 2015
The Gbest-guided artificial bee colony (GABC) algorithm is a latest swarm intelligence-based approach to solve optimisation problem. In GABC, the individuals update their respective positions by drawing inspiration from the global best solution available in the current swarm.
Kavita Sharma, P.C. Gupta, Harish Sharma
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Arrhenius Artificial Bee Colony Algorithm

2018
The 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, Anand Nayyar, Rajani Kumari   +2 more
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An Improved Artificial Bee Colony Algorithm

2010 2nd International Workshop on Intelligent Systems and Applications, 2010
Artificial 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, Junjie Li, Haojin Li, Zhenyue Ma, Qing Xu   +4 more
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A Novel Artificial Bee Colony Algorithm

2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics, 2014
Artificial bee colony algorithm is a new population-based evolutionary method based on the intelligent behavior of honey bee swarm. It has shown more effective than other biological-inspired algorithms. However, there are still insufficiencies in ABC algorithm, which is good at exploration but poor at exploitation and its convergence speed is also an ...
Yujang Yi, Renjie He
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Expedited Artificial Bee Colony Algorithm

2014
Artificial 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, Jagdish Chand Bansal, Ritu Tiwari, Harish Sharma   +3 more
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An improved artificial bee colony algorithm

2011 3rd International Conference on Computer Research and Development, 2011
The Artificial Bee Colony (ABC) algorithm is a new swarm optimization algorithm with good numerical optimization results. This paper presents an improved algorithm called fast mutation artificial bee colony algorithm or FMABC. During choosing food sources, the onlookers use the pheromone and the sensitivity model in Free Search algorithm to replace the
null Xiaojun Bi, null Yanjiao Wang
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A modified artificial bee colony algorithm

Computers & Operations Research, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gao, Wei-Feng, Liu, San-Yang
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Hybrid Differential Artificial Bee Colony Algorithm

Journal of Computational and Theoretical Nanoscience, 2012
Hybrid Differential Artificial Bee Colony Algorithm Ajith Abraham1 ∗, Ravi Kumar Jatoth2, and A. Rajasekhar3 1Machine Intelligent Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, USA 2Department of Electronics and Communication Engineering, National Institute of Technology Warangal, India 3Department of Electrical ...
Ajith Abraham, Ravi Kumar Jatoth, A. Rajasekhar   +2 more
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Artificial bee colony algorithm: a survey

International Journal of Advanced Intelligence Paradigms, 2013
In 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, Harish Sharma, Shimpi Singh Jadon   +2 more
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