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Multilevel thresholding of color images using globally informed artificial bee colony algorithm [PDF]
Scientific ReportsMultilevel image thresholding presents a computational challenge as the number of thresholds increases, requiring efficient optimization techniques. The artificial bee colony (ABC) algorithm is a widely used metaheuristic for addressing this problem ...
Ivona Brajević, Jelena Ignjatović
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Nonlinear PID controller parameter optimization using modified hybrid artificial bee colony algorithm for continuous stirred tank reactor [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2021 The artificial bee colony (ABC) algorithm is well known and widely used optimization method based on swarm intelligence, and it is inspired by the behavior of honeybees searching for a high amount of nectar from the flower.
Nedumal Pugazhenthi P +2 more
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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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Study and Evaluation of Spiking Neural Network Model Based on Bee Colony Optimization [PDF]
Jisuanji kexue, 2023 In order to improve the training ability of Spiking neural network,this paper takes multi-label classification problem as the research breakthrough point and adopts bee colony algorithm to optimize the model.There are many neural network models based on ...
MA Weiwei, ZHENG Qinhong, LIU Shanshan
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IEEE Access, 2022 An improved artificial bee colony algorithm (IABC) was proposed to solve the problems of the k-means clustering (KMC) algorithm, such as poor global search ability, sensitive selection of initial cluster center, randomness of initialization, precocity ...
Gang Yao +4 more
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IET Networks, EarlyView., 2022 Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi +4 more
wiley +1 more source
Optimized Artificial Bee Colony Algorithm with Markov Chain
Jisuanji kexue yu tansuo, 2020 The shortcomings of the artificial bee colony algorithm (ABC) and its improved algorithm are analyzed. This paper proposes the improved Markov ABC (IMABC) dividing the ABC algorithm into two stages by verifying the Markov property of the artificial bee ...
GUO Jia, MA Chaobin, ZHANG Shaobo, MIAO Mengmeng
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International Journal of Antennas and Propagation, 2023 The artificial bee colony (ABC) algorithm is a biomimetic optimization algorithm based on the intelligent foraging behavior of a bee colony. It has obvious advantages in dealing with complex nonlinear optimization problems.
Yuqi Sun, Jianbang Sun, Lei Ye
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An enhanced artificial bee colony algorithm based on fitness weighted search strategy
Automatika, 2021 Artificial Bee Colony (ABC) algorithm is a meta-heuristic algorithm, is inspired by the bee’s food search behaviour based on swarm intelligence.
Yuksel Celik
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A Hybrid Firefly and Multi-Strategy Artificial Bee Colony Algorithm
International Journal of Computational Intelligence Systems, 2020 Many hard optimization problems have been efficiently solved by two notable swarm intelligence algorithms, artificial bee colony (ABC) and firefly algorithm (FA).
Ivona Brajević +3 more
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