Fitness based Mutation in Artificial Bee Colony Algorithm
Sanjay Singh and Vibhakar Pathak. Article: Fitness based Mutation in Artificial Bee Colony Algorithm. IJCA Proceedings on National Seminar on Recent Advances in Wireless Networks and Communications NWNC(1):26-30, April 2014. Full text available. BibTeX
@article{key:article,
author = {Sanjay Singh and Vibhakar Pathak},
title = {Article: Fitness based Mutation in Artificial Bee Colony Algorithm},
journal = {IJCA Proceedings on National Seminar on Recent Advances in Wireless Networks and Communications},
year = {2014},
volume = {NWNC},
number = {1},
pages = {26-30},
month = {April},
note = {Full text available}
}
Abstract
Artificial Bee Colony (ABC) optimization algorithm is a swarm intelligence based nature inspired algorithm which has been proved a competitive algorithm with some popular nature-inspired algorithms. However, it is found that the ABC algorithm prefers exploration at the cost of the exploitation. Therefore, in this paper a self adaptive fitness based mutation strategy is presented in which the perturbation in the solution is based on fitness of the solution. The proposed strategy is self-adaptive in nature and therefore no manual parameter setting is required.
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