CFP last date
20 June 2024
Call for Paper
July Edition
IJCA solicits high quality original research papers for the upcoming July edition of the journal. The last date of research paper submission is 20 June 2024

Submit your paper
Know more
Reseach Article

Survey Paper on Swarm Intelligence

by S.keerthi, Ashwini K, Vijaykumar M.v
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 5
Year of Publication: 2015
Authors: S.keerthi, Ashwini K, Vijaykumar M.v

S.keerthi, Ashwini K, Vijaykumar M.v . Survey Paper on Swarm Intelligence. International Journal of Computer Applications. 115, 5 ( April 2015), 8-12. DOI=10.5120/20145-2273

@article{ 10.5120/20145-2273,
author = { S.keerthi, Ashwini K, Vijaykumar M.v },
title = { Survey Paper on Swarm Intelligence },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 5 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 8-12 },
numpages = {9},
url = { },
doi = { 10.5120/20145-2273 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:54:17.611467+05:30
%A S.keerthi
%A Ashwini K
%A Vijaykumar M.v
%T Survey Paper on Swarm Intelligence
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 5
%P 8-12
%D 2015
%I Foundation of Computer Science (FCS), NY, USA

In this paper we are discussing regarding the Swarm Intelligence and there some of the examples. Anything in group is said to a swarm. Intelligent behaviour from a large number of Simple Individuals is called as Swarm Intelligence. It is a collective Behaviour from the local interactions of the individuals with the each other. Individual co-ordinate from the decentralized control and self-organization. We can find swarm in colonies of ants, school of fishes, flocks of birds etc. In this paper we are seeing the examples of Swarm and their behaviour. we also see the various Swarm Intelligence models such as the Ant colony Optimization where is describes about the movement of ants, their behaviour, and how do it overcome the obstacles, in birds we see about the Particle swarm optimization it is based on the swarm intelligence and how the positions has to be placed based on the three principles. Next is the Bee colony optimization that deals with the behaviour of the bees, their interactions, also describes about the Movement and how they work in Swarm. Some of the techniques and algorithms are discussed in this paper.

  1. Principles and applications of swarm intelligence for adaptive routing in telecommunications networks, Frederick Ducatelle, Gianni A. Di Caro, Luca M. Gambardella, "Dalle Molle" Institute for Arti?cial Intelligence Studies (IDSIA) Galleria 2, 6928 Manno, Switzerland e-mail: {Frederick, gianni,luca}@idsia. ch
  2. A Study on Swarm Artificial Intelligence by Dr. Ajay Jangra, Adima Awasthi, Vandana Bhatia U. I. E. T,K. U, India
  3. An Ant Colony Optimization Algorithm for Solving Travelling Salesman Problem Krishna H. Hingrajiya, Ravindra Kumar Gupta, Gajendra Singh Chandel , University of Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal (M. P. )
  4. Evolutionary Dynamics of Ant Colony Optimization Haitham Bou Ammar, Karl Tuyls, and Michael Kaisers Maastricht University, P. O. Box 616, 6200 MD Maastricht, The Netherlands
  5. Swarm –Based Truck-Shovel Dispatching System in Open Pit Mine Operations Yassiah Bissiri, W. Scott Dunbar and Allan Hall Department of Mining and Mineral Process Engineering University of British Columbia, Vancouver, B. C. , Canada Email:bissiri@mining. ubc. ca
  6. http://www. slideshare. net/smashingrohit/swarm-intelligence-an-introduction
  7. Beekman M, Sword G A, and Simpson S J, 2008, Biological foundations of swarm intelligence, In C. Blum and D. Merkle (eds. ) Swarm Intelligence. Introduction and Applications, Springer, Berlin, Germany, pp. 3-41.
  8. Bijaya Ketan Panigrahi, Yuhui Shi et al, 2011, Handbook of Swarm Intelligence, Springer 2011.
  9. Foundations of Swarm Intelligence: From Principles to Practice Mark Fleischer Institute for Systems Research University of Maryland College Park, Maryland 20742
  10. Swarm-based information retrieval Automatic knowledge-acquisition using MAS, SI and the Internet Harvard Rykkelid
  11. http://www. slideshare. net/idforjoydutta/ant-colony-optimization-23180597?related=2
  12. Swarm Intelligence: Concepts, Models and Applications Technical Report 2012-585 Hazem Ahmed Janice Glasgow School of Computing Queen's University Kingston, Ontario, Canada K7L3N6 {hazem, janice}@cs. queensu. ca
  13. Bee Colony Optimization – A Cooperative Learning Approach to Complex Transportation Problems Dušan Teodorovi?1, 2, Mauro Dell' Orco3
  14. The Bees Algorithm – A Novel Tool for Complex Optimisation Problems D. T. Pham, A. Ghanbarzadeh, E. Koç, S. Otri , S. Rahim , M. Zaidi Manufacturing Engineering Centre, Cardiff University, Cardiff CF24 3AA, UK
  15. Honey Bees Inspired Optimization Method: The Bees Algorithm Baris Yuce 1,*, Michael S. Packianather 2, Ernesto Mastrocinque 3, Duc Truong Pham 4 and Alfredo Lambiase 3
  16. Analysis of Particle Swarm Optimization Algorithm Qinghai Bai College of Computer Science and Technology Inner Mongolia University for Nationalities Tongliao 028043, China Tel: 86-475-239-5155 E-mail: baiqh68@163. com
  17. Angeline P J. (1999). Using selection to improve Particle Swarm Optimization. Proceedings of the 1999 Congress on Evolutionary Computation. Piscataway. NJ: IEEE Press, 1999:84-89.
  18. Chen Yon gang, Yang Fengjie, Sun Jigui. (2006). A new Particle swam optimization Algorithm. Journal of Jilin University, 2006, 24(2):181-183. (In Chinese)
  19. Clerc M, Kennedy J. (2002). The particle swarm-explosion stability and convergence in a multidimensional complex space. IEEE Transactions on Evolutionary Computation, 2002, 6(1):58-73.
  20. http://www. slideshare. net/Hennegrolsch/particle-swarm-intelligence-a-particle-swarm-optimizer-with-enhanced-global-search-qualities-and-guaranteed-convergence
  21. http://www. slideshare. net/SwapnilGaul/particle-swarm-optimization-and-its-applications-in-electromagnetics?related=2
  22. Reynolds, Craig (1987). "Flocks, herds and schools: A distributed behavioural model. ". SIGGRAPH '87: Proceedings of the 14th annual conference on Computer graphics and interactive techniques (Association for Computing Machinery): 25–34. Doi:10. 1145/37401. 37406. ISBN 0-89791-227-6.
  23. Banks, Alec; Vincent, Jonathan; Anyakoha, Chukwudi (July 2007). "A review of particle swarm optimization. Part I: background and development". Natural Computing. Doi:10. 1007/s11047-007-9049-5.
  24. M. Dorigo (1992) Optimization, learning and natural algorithms, Ph. D. Thesis, Politecnico di Milano, Milano.
  25. M. Dorigo, V. Maniezzo, A. Colorni (1991) the ant system: an autocatalytic optimizing process, Technical Report TR91-016, Politecnico di Milano
  26. Biological Foundations of Swarm Intelligence Madeleine Beekman1, Gregory A. Sword2, and Stephen J. Simpson21 Behaviour and Genetics of Social Insects Lab, School of Biological Sciences, University of Sydney, Sydney, Australia mbeekman@bio. usyd. edu. au 2 Behaviour and Physiology Research Group, School of Biological Sciences, University of Sydney, Sydney, Australia {greg. sword,stephen. simpson}@bio. usyd. edu. au
  27. The Applications Survey on Bee Colony Optimization Hemant Nagpur#, Rohit Raja* # ME (CTA) *Asst. Prof. In Department of Computer Science & Engineering, SSCET, Bhilai
  28. Swarm intelligence Yichen Hu
  29. http://www. academia. edu/1950593/Study_and_Analysis_of_Particle_Swarm_Optimization_A_Review
  30. Bee colony optimization Dusan Teodorovic university of Belgrade.
  31. Craig W. Reynolds's home page, http://www. red3d. com/cwr/
  32. Computer Graphics, Principles and Practice by Foley, van Dam, Feiner and Hughes, Addison Wesley 1990
  33. Beni. G, Wang. J, Swarm Intelligence in cellular robotic systems, precede NATO advanced workshop on robots & biological systems, Italy June 26-30 in 1989
  34. M. Darigo, M. Birattari, T. Stutzle, "Ant Colony Optimization-Artificial Ants as a Computational Intelligence Technique", IEEE Computational Intelligence Magazine, 2006
  35. M. Darigo, K. Socha, "An Introduction to Ant Colony Optimization", T. F. Gonzalez, Approximation Algorithms and Metaheuristics, CRC press, 2007
  36. In 2005, D. Karabago introduced Artificial Bee Colony Algorithm; ABC Algorithm has been applied to the neural network training.
Index Terms

Computer Science
Information Sciences


Swarm Swarm Intelligence Stigmergy Pheromone