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Reseach Article

Fitness based Mutation in Artificial Bee Colony Algorithm

Published on April 2014 by Sanjay Singh, Vibhakar Pathak
National Seminar on Recent Advances in Wireless Networks and Communications
Foundation of Computer Science USA
NWNC - Number 1
April 2014
Authors: Sanjay Singh, Vibhakar Pathak
c2b77e50-e3ba-4e76-b794-9530cce0cd40

Sanjay Singh, Vibhakar Pathak . Fitness based Mutation in Artificial Bee Colony Algorithm. National Seminar on Recent Advances in Wireless Networks and Communications. NWNC, 1 (April 2014), 26-30.

@article{
author = { Sanjay Singh, Vibhakar Pathak },
title = { Fitness based Mutation in Artificial Bee Colony Algorithm },
journal = { National Seminar on Recent Advances in Wireless Networks and Communications },
issue_date = { April 2014 },
volume = { NWNC },
number = { 1 },
month = { April },
year = { 2014 },
issn = 0975-8887,
pages = { 26-30 },
numpages = 5,
url = { /proceedings/nwnc/number1/16111-1410/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Seminar on Recent Advances in Wireless Networks and Communications
%A Sanjay Singh
%A Vibhakar Pathak
%T Fitness based Mutation in Artificial Bee Colony Algorithm
%J National Seminar on Recent Advances in Wireless Networks and Communications
%@ 0975-8887
%V NWNC
%N 1
%P 26-30
%D 2014
%I International Journal of Computer Applications
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.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Artificial Bee Colony Mutation Exploration.