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Fitness based Mutation in Artificial Bee Colony Algorithm

Published on April 2014 by Sanjay Singh, Vibhakar Pathak
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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.