Investigation into Mutation Operators for Microbial Genetic Algorithm

Samreen Umer

2015

Abstract

Microbial Genetic Algorithm (MGA) is a simple variant of genetic algorithm and is inspired by bacterial conjugation for evolution. In this paper we have discussed and analyzed variants of this less exploited algorithm on known benchmark testing functions to suggest a suitable choice of mutation operator. We also proposed a simple adaptive scheme to adjust the impact of mutation according to the diversity in population in a cost effective way. Our investigation suggests that a clever choice of mutation operator can enhance the performance of basic MGA significantly.

Paper Citation

in Harvard Style

Umer S. (2015). Investigation into Mutation Operators for Microbial Genetic Algorithm . In Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: ECTA, ISBN 978-989-758-157-1, pages 299-305. DOI: 10.5220/0005614902990305

in Bibtex Style

@conference{ecta15,
author={Samreen Umer},
title={Investigation into Mutation Operators for Microbial Genetic Algorithm},
booktitle={Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: ECTA,},
year={2015},
pages={299-305},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005614902990305},
isbn={978-989-758-157-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: ECTA,
TI - Investigation into Mutation Operators for Microbial Genetic Algorithm
SN - 978-989-758-157-1
AU - Umer S.
PY - 2015
SP - 299
EP - 305
DO - 10.5220/0005614902990305