Bacterial Foraging Optimization

Authors

  • Dr. Sunita Beniwal  Department of Computer Science and Engineering, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, India

Keywords:

Chemotaxis, Swarming, Reproduction and Elimination-Dispersal

Abstract

This paper reviews the optimization technique, Bacterial Foraging Optimization. The technique derives its working from Bacteria E.coli. The process of foraging is comprised of four mechanisms. The four mechanisms in the BFO algorithm are chemotaxis, swarming, reproduction and elimination-dispersal. This technique has been applied by many researchers for improving the performance of other techniques like genetic algorithms, particle swarm optimization etc. or has been used alone to solve optimization problems.

References

  1. Passino, K. M. (2012). "Bacterial foraging optimization." Innovations and Developments of Swarm Intelligence Applications. 2012, 219-233.
  2.  Lee C.L. and Lin, C. J. (2016). “A novel strategy adaptation based bacterial foraging algorithm for numerical optimization.” International Journal of Swarm Intelligence and Evolutionary Computation. 5,1.
  3. Anguluri, R., Abraham, A. and Snasel, V. (2011). “A Hybrid Bacterial Foraging-PSO Algorithm Based Tuning of Optimal FOPI Speed Controller.” Acta Montanistica Slovaca.16(1), 55-65
  4. Kim, D. H., Abraham, A. and Cho, J. H. (2007). A hybrid genetic algorithm and bacterial foraging approach for global optimization. Information Sciences. 177(18), 3918-3937.
  5. Zhang, Y., Wu, L. and Wang, S. (2010). “Bacterial foraging optimization based neural network for short-term load forecasting.” Journal of Computational Information Systems. 6(7), 2099-2105.
  6. Li, P. and Zhu, H. (2016). “Parameter selection for ant colony algorithm based on bacterial foraging algorithm.” Mathematical Problems in Engineering. 2016, Article ID 6469721 Passino, K. M. (2012). "Bacterial foraging optimization." Innovations and Developments of Swarm Intelligence Applications. 2012, 219-233.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

Downloads

Published

2018-07-30

Issue

Volume 3, Issue 6, July-August-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dr. Sunita Beniwal, " Bacterial Foraging Optimization" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 6, pp.259-261, July-August-2018.