Results 31 to 40 of about 22,927 (228)
Optimal Power Sharing in Microgrids Using the Artificial Bee Colony Algorithm
Energies, 2022 In smart grids, a hybrid renewable energy system that combines multiple renewable energy sources (RESs) with storage and backup systems can provide the most cost-effective and stable energy supply.
Kalim Ullah +4 more
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Application of the Artificial Bee Colony Algorithm for Solving the Set Covering Problem
The Scientific World Journal, 2014 The set covering problem is a formal model for many practical optimization problems. In the set covering problem the goal is to choose a subset of the columns of minimal cost that covers every row.
Broderick Crawford +3 more
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Training ANFIS using artificial bee colony algorithm
2013 IEEE INISTA, 2013 This paper introduces a new approach for training the adaptive network based fuzzy inference system (ANFIS). In this study, we apply one of the swarm intelligent branches, named artificial bee colony algorithm (ABC) for training. We use ABC for training the antecedent parameters and the conclusion parameters.
Kaya, Ebubekir, KARABOĞA, Derviş
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Zhongguo Jianchuan YanjiuObjectiveThe artificial bee colony (ABC) algorithm has such characteristics as few control parameters, strong local optimization ability and fast convergence speed.
Tieli LI +4 more
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Application of Artificial Bee Colony Algorithm for timing of Road Entrance Signal
MATEC Web of Conferences, 2018 Aiming at the problem of signal timing at road intersections, this paper uses the artificial bee colony algorithm to optimize the road model of single point multi phase intersection.
Chen Ming-xia, Zhang Han, Li Xu-yong
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Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, 2021 As the size of the optimization problems grows, it becomes more difficult to solve. Swarm intelligence algorithms can be used to tackle these problems. One of the swarm intelligence algorithms is the Artificial Bee Colony (ABC) algorithm.
Doğan AYDIN, Ümit GÜVEN
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Artificial bee colony algorithm
Scholarpedia, 2010 Artificial Bee Colony (ABC) algorithm is a powerful optimization algorithm that simulates the task division and self-organization abilities of honey bees in their foraging activity. ABC algorithm has attracted the attention of researchers and has been applied to many problems in various fields successfully.
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Adaptive binary artificial bee colony algorithm
Applied Soft Computing, 2021 Metaheuristics and swarm intelligence algorithms are bio-inspired algorithms, which have long standing track record of success in problem solving. Due to the nature and the complexity of the problems, problem solving approaches may not achieve the same success level in every type of problems.
Aydin, Mehmet Emin, Durgut, Rafet
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IEEE Access, 2020 Clustering sensor nodes is an effective method in designing routing algorithms for Wireless Sensor Networks (WSNs), which improves network lifetime and energy efficiency. In clustered WSNs, cluster heads are the key nodes, they need to perform more tasks,
Zongshan Wang +4 more
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Artificial bee colony algorithm variants on constrained optimization
An International Journal of Optimization and Control: Theories & Applications (IJOCTA), 2017 Optimization problems are generally classified into two main groups:unconstrained and constrained. In the case of constrainedoptimization, special techniques are required to handle withconstraints and produce solutions in the feasible space. Intelligentoptimization techniques that do not make assumptions on the problemcharacteristics are preferred to ...
KARABOĞA, Derviş, AKAY, Bahriye
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