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A modified artificial bee colony algorithm
Computers & Operations Research, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Weifeng Gao, San-Yang Liu
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Adaptive artificial bee colony optimization
Proceedings of the 15th annual conference on Genetic and evolutionary computation, 2013In this paper, we propose a novel greedy position update strategy for the ABC algorithm. The greedy position update strategy is implemented mainly in two steps. In the first step, good solutions randomly chosen from the top t solutions in the current population are used to guide the search process of onlooker bees. In the second step, the new parameter
Wei-jie Yu 0001 +2 more
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Shuffled artificial bee colony algorithm
Soft Computing, 2016In this study, we have introduced a hybrid version of artificial bee colony (ABC) and shuffled frog-leaping algorithm (SFLA). The hybrid version is a two-phase modification process. In the first phase to increase the global convergence, the initial population is produced using randomly generated and chaotic system, and then in the second phase to ...
Tarun Kumar Sharma, Millie Pant
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Escalated convergent artificial bee colony
Journal of Experimental & Theoretical Artificial Intelligence, 2015Artificial bee colony (ABC) optimisation algorithm is a recent, fast and easy-to-implement population-based meta heuristic for optimisation. ABC has been proved a rival algorithm with some popular swarm intelligence-based algorithms such as particle swarm optimisation, firefly algorithm and ant colony optimisation.
Shimpi Singh Jadon +2 more
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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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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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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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Enhanced compact artificial bee colony
Information Sciences, 2015Challenges in many real-world optimization problems arise from limited hardware availability, particularly when the optimization must be performed on a device whose hardware is highly restricted due to cost or space. This paper proposes a new algorithm, namely Enhanced compact Artificial Bee Colony (EcABC) to address this class of optimization problems.
Akbar Banitalebi +3 more
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Binary artificial bee colony optimization
2011 IEEE Symposium on Swarm Intelligence, 2011Artificial bee colony (ABC) optimization is a relatively new population-based, stochastic optimization technique. ABC was developed to optimize unconstrained problems within continuous-valued domains. This paper proposes three versions of ABC that enable it to be applied to optimization problems with binary-valued domains.
Gary Pampara, Andries P. Engelbrecht
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2014
Another version of Artificial Bee Colony ABC optimization algorithm, which is called the Compact Artificial Bee Colony cABC optimization, for numerical optimization problems, is proposed in this paper. Its aim is to address to the computational requirements of the hardware devices with limited resources such as memory size or low price. A probabilistic
Thi-Kien Dao +4 more
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Another version of Artificial Bee Colony ABC optimization algorithm, which is called the Compact Artificial Bee Colony cABC optimization, for numerical optimization problems, is proposed in this paper. Its aim is to address to the computational requirements of the hardware devices with limited resources such as memory size or low price. A probabilistic
Thi-Kien Dao +4 more
openaire +1 more source