Review on Swarm Intelligence Algorithms

Authors

  • Dr.S. Praveena  ECE Department M.G.I.T, Hyderabad, Telangana, India

Keywords:

Swarm Intelligence, Image Processing

Abstract

Swarm intelligence (SI) is artificial intelligence based on the collective behavior of decentralized, self-organized systems. SI systems are typically made up of a population of simple agents interacting locally with one another and with their environment. This paper summarizes the research status of swarm intelligence optimization algorithms.

References

  1. Jagdeep Kaur, "Remote Image Classification Using Particle Swarm Optimization", International Journal of Emerging Technology and Advanced Engineering, Volume 2, Issue 7, July 2012.
  2. Lavika Goel,"Land Cover Feature Extraction using Hybrid Swarm Intelligence Techniques - A Remote Sensing Perspective," ACEEE Int. J. on Signal & Image Processing, Vol. 01, No. 03, Dec 2010
  3. R.S. Parpinelli, H.S. Lopes and A.A. Freitas, " Data Mining with an Ant Colony Optimization Algorithm",IEEETrans.OnEvolutionarycomputation, Special issue on Ant Colony algorithms, pp. 321-332, 2002.
  4. Shelly Bansal, Daya Gupta, V.K. Panchal ,Shashi Kumar,"Remote Sensing Image Classification by ImprovedSwarmInspired Techniques" , International Conference on Artificial Intelligence and Pattern Recognition (AIPR-09), Orlando, FL, USA, 2009.
  5. Panchal VK, Singhal Naresh, Kumar Shashi, Bhakna Sonam, "Rough-Fuzzy Sets Tie-Up for Geospatial Information" Proceedings of International Conference on Emerging Scenarios in Space Technology and Applications (ESSTA2008), vol-I, 2008
  6. Navdeep Kaur Johal, Samandeep Singh, Harish Kundra, "Hybrid FPAB/BBO Algorithm for Satellite Image Classification," International Journal of Computer Applications, pp.0975-8887, Vol.6, No.5, September 2010.
  7. Parminder Singh, Navdeep Kaur, Loveleen Kaur,"SatelliteImage Classification by Hybridization of FPAB Algorithm and Bacterial Chemotaxis,"International Journal of Computer Technologyand Electronics Engineering (IJCTEE), Vol.1, No.3, 2011.
  8. Mohammed S. M. Altae et al., "Ant Colony SystemWithMedian Based Partitioning For Image SegmentationAndClassification", Iraqi Journal of Science, Vol.52, No.2, 2011, pp 247-258.
  9. Mohamad Awad, Kacem Chehdi, and Ahmad Nasri, "Multicomponent Image Segmentation Using a Genetic Algorithm and Artificial Neural Network", IEEE Geoscience And Remote Sensing Letters, VOL. 4, NO. 4, OCTOBER 2007.
  10. Ankita Bose, Kalyani Mali, "A Comparative Study onImage Segmentation Based on Artificial Bee ColonyOptimizationandFCM", IJARCSSE, Volume 4, issue 3, March 2014.
  11. Brambilla M, Ferrante E, Birattari M, et al.Swarm robotics:areview from the swarm engineering perspectiveJ].SwarmIntelligence,2013,7(1):1-41.
  12. Derrac J, García S, Molina D, et al. A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithmsJ]. Swarm and Evolutionary Computation, 2011, 1(1): 3-18.

The Windows update prank can easily trick someone when opened in full screen. It looks and acts like a real install page.

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

Downloads

Published

2018-04-30

Issue

Volume 3, Issue 4, March-April-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.S. Praveena, " Review on Swarm Intelligence Algorithms, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 4, pp.151-154, March-April-2018.