Affordable Access

Publisher Website

Bacterial foraging algorithm with varying population

Authors
Journal
Biosystems
0303-2647
Publisher
Elsevier
Publication Date
Volume
100
Issue
3
Identifiers
DOI: 10.1016/j.biosystems.2010.03.003
Keywords
  • Bacterial Foraging Algorithm
  • Bacterial Colony Behaviors
  • Optimization
Disciplines
  • Computer Science

Abstract

Abstract Most of evolutionary algorithms (EAs) are based on a fixed population. However, due to this feature, such algorithms do not fully explore the potential of searching ability and are time consuming. This paper presents a novel nature-inspired heuristic optimization algorithm: bacterial foraging algorithm with varying population (BFAVP), based on a more bacterially-realistic model of bacterial foraging patterns, which incorporates a varying population framework and the underlying mechanisms of bacterial chemotaxis, metabolism, proliferation, elimination and quorum sensing. In order to evaluate its merits, BFAVP has been tested on several benchmark functions and the results show that it performs better than other popularly used EAs, in terms of both accuracy and convergency.

There are no comments yet on this publication. Be the first to share your thoughts.