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Hybrid Differential Artificial Bee Colony Algorithm
Journal of Computational and Theoretical Nanoscience, 2012Hybrid 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 +2 more
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Artificial bee colony algorithm: a survey
International Journal of Advanced Intelligence Paradigms, 2013In 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 +2 more
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A grey artificial bee colony algorithm
Applied Soft Computing, 2017Grey relational analysis is used to decide the relation of closeness of the employed bee with respect to its neighbor.The chosen neighbor individual is employed to guide the evolutionary process.A ...
Wan-li Xiang +4 more
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Automation, Control, and Information Technology, 2020
A new method for parametric identification of interval discrete dynamic models based on artificial bee colony algorithm has been proposed and justified. Proposed method is based on a new mathematical description of a searching process of a global minimum
M. Dyvak
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A new method for parametric identification of interval discrete dynamic models based on artificial bee colony algorithm has been proposed and justified. Proposed method is based on a new mathematical description of a searching process of a global minimum
M. Dyvak
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Artificial bee colony algorithm with memory
Applied Soft Computing, 2016Graphical abstractDisplay Omitted HighlightsArtificial bee colony with memory algorithm (ABCM) is proposed.ABCM introduces the memory ability of natural honeybees to ABC.ABCM is designed as simply as possible for easy implementation.Experiments on the benchmark functions show the superiority of ABCM.It bridges the gap between ABC and the neuroscience ...
Xianneng Li, Guangfei Yang
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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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Lévy flight artificial bee colony algorithm
International Journal of Systems Science, 2015Artificial bee colony ABC optimisation algorithm is a relatively simple and recent population-based probabilistic approach for global optimisation. The solution search equation of ABC is significantly influenced by a random quantity which helps in exploration at the cost of exploitation of the search space.
Harish Sharma +3 more
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A hybrid artificial bee colony algorithm for flexible job shop scheduling with worker flexibility
International Journal of Production Research, 2019The traditional flexible job shop scheduling problem (FJSP) considers machine flexibility but not worker flexibility. Given the influence and potential of human factors in improving production efficiency and decreasing the cost in practical production ...
Guiliang Gong +3 more
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An improved artificial bee colony algorithm
2013 25th Chinese Control and Decision Conference (CCDC), 2013Artificial bee colony algorithm (ABC) is a relatively new optimization technique which has been shown to be competitive to other population-based algorithms. In this work, we propose an improved solution search equation in scout bee phase. In addition, the initial population is generated by piecewise Logistic equation to enhance the global convergence.
Hongzhi Liu +3 more
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