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A Review on Swarm Intelligence System

Authors(1):

Akshay Rajshekhar Hiremath
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The conventionally used robots are for real life work of large size and have complexity in construction and programming. Sometimes, the size of robots affects the external environmental conditions and the scenario around it. The construction cost of robot for a long duration and on a larger working area is much larger. The maintenance of robust robots is also a big problem due to complexity in the construction and materials used for construction. This paper highlights and discusses the alternative and more economical and more efficient method can be used in real practice. The concept of natural swarm intelligence can be used artificially as “Artificial Swarm Intelligence”. The task can be performed by number of small robots which will work collectively as per swarm intelligence seen in nature like ant colonies, flocks of birds etc. The efficiency of work and time taken for completion of task will be much less as it will be done by a group collectively.

Akshay Rajshekhar Hiremath

SI, AI, Ant Systems, ACO, PSO.

  1. Morgan Kauffmann Publishers (2001), “Swarm Intelligence” by James Kennedy and Russell Eberhart.
  2. IGI Publishing (2002), “Data Mining: A Heuristic Approach” by Hussein Abbass and Charles Newton.
  3. The MIT Press (2004), “Ant colnoy Optimization” by Macro Dorigo and Thomas Stützle.
  4. IGI Publishing (2006), “Advances in Applied Artificial Intellligence” by Jhon Fulcher.
  5. “Particle Swarm Optimization” http://swarmintelligence.org
  6. “Ant Colony Optimization” by Maccro Dorigo, http://iridia.ulb.ac.be/`mdorigo/ACO/ACO.htm;
  7. “Ant Colony Optimization” Curatored Maccro Dorigo, http://www.scholarpedia.org/article/Ant_Colony_Optimization.

Publication Details

Published in : Volume 2 | Issue 2 | March-April - 2016
Date of Publication Print ISSN Online ISSN
2016-04-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
1069-1071 IJSRSET1622335   Technoscience Academy

Cite This Article

Akshay Rajshekhar Hiremath, "A Review on Swarm Intelligence System", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.1069-1071, March-April-2016.
URL : http://ijsrset.com/IJSRSET1622335.php