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Opposition-based artificial bee colony algorithm

Proceedings of the 13th annual conference on Genetic and evolutionary computation, 2011
The 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.
openaire   +1 more source

Artificial Bee Colony Algorithm

2023
Fran Sérgio Lobato   +2 more
openaire   +1 more source

Surrogate-Assisted Artificial Bee Colony Algorithm

2022
Tao Zeng   +4 more
openaire   +1 more source

An artificial bee colony algorithm with a distance factor

International Journal of Computing Science and Mathematics, 2022
Min Zhou, Runxiu Wu, Hui Sun 0001
openaire   +1 more source

A hybrid artificial bee colony optimization algorithm

2014 10th International Conference on Natural Computation (ICNC), 2014
Yanhua Yuan, Yuanguo Zhu
openaire   +1 more source

A modified Artificial Bee Colony algorithm for real-parameter optimization

Information Sciences, 2012
Bahriye Akay, Dervis Karaboga
exaly  

A novel clustering approach: Artificial Bee Colony (ABC) algorithm

Applied Soft Computing Journal, 2011
Dervis Karaboga, Celal ÖZTÜRK
exaly  

Dynamic clustering with improved binary artificial bee colony algorithm

Applied Soft Computing Journal, 2015
Celal ÖZTÜRK   +2 more
exaly  

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