Abstract
Artificial Bee colony (ABC), a recently developed optimization algorithm has gained the attraction of many researchers. The foraging behavior of bees is used to search the optimum solution to the problem. In this study the foraging process for food sources by onlooker bees is being modified, which combines the information of the best food sources (based on fitness/nectar value) and also the information of the location of current food source to find new search directions. The proposed variant is named as MF-ABC and is tested in a set of 5 well known benchmark functions. The simulated results demonstrate the performance and efficiency of the proposal over basic ABC.
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Sharma, T.K., Pant, M., Deep, A. (2013). Modified Foraging Process of Onlooker Bees in Artificial Bee Colony. In: Bansal, J., Singh, P., Deep, K., Pant, M., Nagar, A. (eds) Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012). Advances in Intelligent Systems and Computing, vol 202. Springer, India. https://doi.org/10.1007/978-81-322-1041-2_41
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DOI: https://doi.org/10.1007/978-81-322-1041-2_41
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