A New Variant of Bat Algorithm and Clustering Approach for Optimization Problems

Authors

  • Savita Khatri
  • Neeraj Dahiya

DOI:

https://doi.org/10.37591/jowet.v4i3.1145

Abstract

Abstract
This paper proposes a new variant of bat algorithm for optimization problems for solving global and continuous optimization problems to expand the weakness of BAT. The planned algorithm uses the genetic bat tactics for improving the search and to overcome the deficiency, directional echolocation is introduced to the standard bat algorithm to enhance its exploration and exploitation capabilities. The outcomes are taken on six benchmark optimization problems. From upshots, it is detected that the planned algorithm delivers more augmented outcomes in contrast to same class of algorithms. The ordinary test outcomes display the supremacy of the turning bat algorithm.

Keywords: Bio-inspired algorithm, optimization, exploitation and echolocation

Cite this Article

Savita Khatri, Neeraj Dahiya. A New Variant of Bat Algorithm and Clustering Approach for Optimization Problems. Journal of Web Engineering & Technology. 2017; 4(3):     1–5p.

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Published

2017-11-30

Issue

Vol. 4 No. 3 (2017)

Section

Research Articles

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