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Reseach Article

Micro Bat Algorithm for High Dimensional Optimization Problems

by Ali Osman Topal, Oguz Altun, Yunus Emre Yildiz
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 122 - Number 12
Year of Publication: 2015
Authors: Ali Osman Topal, Oguz Altun, Yunus Emre Yildiz

Ali Osman Topal, Oguz Altun, Yunus Emre Yildiz . Micro Bat Algorithm for High Dimensional Optimization Problems. International Journal of Computer Applications. 122, 12 ( July 2015), 1-10. DOI=10.5120/21749-5015

@article{ 10.5120/21749-5015,
author = { Ali Osman Topal, Oguz Altun, Yunus Emre Yildiz },
title = { Micro Bat Algorithm for High Dimensional Optimization Problems },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 122 },
number = { 12 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-10 },
numpages = {9},
url = { },
doi = { 10.5120/21749-5015 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T23:10:20.408830+05:30
%A Ali Osman Topal
%A Oguz Altun
%A Yunus Emre Yildiz
%T Micro Bat Algorithm for High Dimensional Optimization Problems
%J International Journal of Computer Applications
%@ 0975-8887
%V 122
%N 12
%P 1-10
%D 2015
%I Foundation of Computer Science (FCS), NY, USA

Very recently bat inspired algorithms have gained increasing attention as a powerful technique for solving optimization problems. Bat algorithm (BA) is the first one in this group. It is based on the echolocation behavior of bats. BA is very good at exploitation however it is generally poor at exploration. Dynamic Virtual Bats Algorithm (DVBA) is another bat inspired algorithm, which is proposed lately. Although the algorithm is fundamentally inspired from BA, it is conceptually very different. DVBA employs just two bats and uses role based search mechanism. It is very efficient in exploration but relatively poor in exploitation, when it comes to high dimensional problems. In this paper, a novel micro-bat algorithm ( BA) is proposed which possess the advantages of both algorithms. BA employs a very small population compared to its classical version. It combines the swarming technique of bats in Bat Algorithm with the role based search in Dynamic Virtual Bats Algorithm. Our empirical results demonstrate that the proposed BA achieves a good balance between exploration and exploitation. And it exhibits a better overall performance than the standard BA with larger and smaller populations on high dimensional problems.

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Index Terms

Computer Science
Information Sciences


Micro Bat Algorithm Dynamic Virtual Bat Algorithm natureinspired algorithms metaheuristics optimization