Generalized opposition-based artificial bee colony algorithm

  • Mohammed El-Abd
  • Published 2012 in 2012 IEEE Congress on Evolutionary Computation

Abstract

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 generalized opposition-based learning. This concept is introduced through the initialization step and through… (More)
DOI: 10.1109/CEC.2012.6252939

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Cite this paper

@article{ElAbd2012GeneralizedOA, title={Generalized opposition-based artificial bee colony algorithm}, author={Mohammed El-Abd}, journal={2012 IEEE Congress on Evolutionary Computation}, year={2012}, pages={1-4} }