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A Transition Control Mechanism for Artificial Bee Colony (ABC) Algorithm. [PDF]
Comput Intell Neurosci, 2019 Artificial Bee Colony (ABC) algorithm inspired by the complex search and foraging behaviors of real honey bees is one of the most promising implementations of the Swarm Intelligence- (SI-) based optimization algorithms. Due to its robust and phase-divided structure, the ABC algorithm has been successfully applied to different types of optimization ...
Aslan S, Aslan S.
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Global Gbest Guided-Artificial Bee Colony Algorithm for Numerical Function Optimization [PDF]
Computers, 2018 Numerous computational algorithms are used to obtain a high performance in solving mathematics, engineering and statistical complexities. Recently, an attractive bio-inspired method—namely the Artificial Bee Colony (ABC)—has shown outstanding
Habib Shah +3 more
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ABC-sampling for balancing imbalanced datasets based on artificial bee colony algorithm [PDF]
2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), 2016 © 2015 IEEE. Class imbalanced data is a common problem for predictive modelling in domains such as bioinformatics. It occurs when the distribution of classes is not uniform among samples and results in a biased prediction of learning towards majority ...
Anaissi, A +3 more
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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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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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