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An improved two-archive artificial bee colony algorithm for many-objective optimization
Expert systems with applications, 2023Tingyu Ye +6 more
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Opposition-based artificial bee colony algorithm
Proceedings of the 13th annual conference on Genetic and evolutionary computation, 2011The Artificial Bee Colony (ABC) algorithm is a relatively new algorithm for function optimization. The algorithm is inspired by the foraging behavior of honey bees. In this work, the performance of ABC is enhanced by introducing the concept of opposition-based learning.
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A modified Artificial Bee Colony algorithm for real-parameter optimization
Information Sciences, 2012B. Akay, D. Karaboğa
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International Conference on Automated Software Engineering, 2022
K. Thirugnanasambandam +3 more
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K. Thirugnanasambandam +3 more
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Gbest-guided artificial bee colony algorithm for numerical function optimization
Applied Mathematics and Computation, 2010Guopu Zhu, S. Kwong
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On the performance of artificial bee colony (ABC) algorithm
Applied Soft Computing, 2008D. Karaboğa, B. Basturk
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An Astute Artificial Bee Colony Algorithm
2017Artificial bee colony (ABC) algorithm is one of the most popular optimization methods for global optimization over real-valued parameters. Though it has been shown very competitive to other natureinspired methods, it suffers from some challenging problems, e.g., slow convergence speed while solving unimodal problems, local optima stagnation (premature ...
Avadh Kishor +2 more
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Clinical management of metastatic colorectal cancer in the era of precision medicine
Ca-A Cancer Journal for Clinicians, 2022, Davide Ciardiello, Giulia Martini
exaly