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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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Fully informed artificial bee colony algorithm
Journal of Experimental & Theoretical Artificial Intelligence, 2015The 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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Artificial Bee Colony for workflow scheduling
2014 IEEE Congress on Evolutionary Computation (CEC), 2014Cloud computing is the provision of computing resource services from which users can obtain resources via network to tackle their demands. In recent years, with fast growing information technology, more users apply this service; as a result, the demand has increased dramatically.
Yun-Chia Liang +2 more
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A modified artificial bee colony algorithm
Computers & Operations Research, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gao, Wei-Feng, Liu, San-Yang
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A Novel Artificial Bee Colony Algorithm
2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics, 2014Artificial 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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An improved artificial bee colony algorithm
2011 3rd International Conference on Computer Research and Development, 2011The 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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Artificial bee colony with bidirectional search
International Journal of Computing Science and Mathematics, 2016Artificial bee colony ABC is an efficient meta-heuristic, which has shown good search abilities on many optimisation problems. In the standard ABC, its solution updating equation uses a random weight to control the difference vector between the current food source and another randomly selected one, and the random weight between −1 and 1 determines the ...
Yong Lu, Ruixiang Li, Sumin Li
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