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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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Chaos-driven Discrete Artificial Bee Colony
2014 IEEE Congress on Evolutionary Computation (CEC), 2014In this paper, a chaos driven Discrete Artificial Bee Algorithm is introduced. The main premise of this work is to ascertain if using chaos maps in lieu of standard pseudorandom number generators can improve the performance of the canonical algorithm.
Magdalena Metlicka, Donald Davendra
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Modified Gbest Artificial Bee Colony Algorithm
2017Artificial Bee Colony (ABC) algorithm is considered an efficient nature inspired algorithm to solve continues unconstraint optimization problems. It was developed by taking inspiration from food foraging behavior of honey bee. To get better speed of convergence in ABC, Zhu and Kwong anticipated an enhanced version of ABC, namely Gbest-guided ABC (GABC).
Pawan Bhambu +2 more
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