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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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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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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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Elitism based artificial bee colony algorithm
2017 International Conference on Computing, Communication and Automation (ICCCA), 2017Artificial bee colony (ABC) algorithm is one of the efficient meta-heuristic optimization algorithm, based on bee behavior for food searching. In order to improve the exploitation ability of ABC algorithm, an elitism based exploitation strategy is incorporated in ABC and the proposed variant is named as Elitism Based ABC Algorithm (EbABC).
Ankita Rajawat +2 more
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Artificial Bee Colony Algorithm Based on Information Learning
IEEE Transactions on Cybernetics, 2015Inspired by the fact that the division of labor and cooperation play extremely important roles in the human history development, this paper develops a novel artificial bee colony algorithm based on information learning (ILABC, for short). In ILABC, at each generation, the whole population is divided into several subpopulations by the clustering ...
Wei-Feng, Gao +3 more
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Improved Discrete Artificial Bee Colony Algorithm
2020Grain is an important economic and strategic material of the country. In grain transportation, it is necessary to consider the running time, vehicle number, path length and other factors at the same time, which is a typical multi-objective problem, but also a NP-Hard problem.
Wanying Liang +5 more
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Parallel artificial bee colony (PABC) algorithm
2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), 2009The artificial bee colony (ABC) algorithm is a metaheuristic algorithm for numerical optimization. It is based on the intelligent foraging behavior of honey bees. This paper presents a parallel version of the algorithm for shared memory architectures. The entire colony of bees is divided equally among the available processors.
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