Results 161 to 170 of about 5,089 (182)
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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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An artificial bee colony algorithm with a distance factor
International Journal of Computing Science and Mathematics, 2022Min Zhou, Runxiu Wu, Hui Sun 0001
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A hybrid artificial bee colony optimization algorithm
2014 10th International Conference on Natural Computation (ICNC), 2014Yanhua Yuan, Yuanguo Zhu
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A modified Artificial Bee Colony algorithm for real-parameter optimization
Information Sciences, 2012Bahriye Akay, Dervis Karaboga
exaly
A novel clustering approach: Artificial Bee Colony (ABC) algorithm
Applied Soft Computing Journal, 2011Dervis Karaboga, Celal ÖZTÜRK
exaly
Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions
Information Sciences, 2011Zhenyue Ma
exaly
Dynamic clustering with improved binary artificial bee colony algorithm
Applied Soft Computing Journal, 2015Celal ÖZTÜRK +2 more
exaly
Artificial bee colony algorithm and pattern search hybridized for global optimization
Applied Soft Computing Journal, 2013Haojin Li
exaly

