SURVEY OF DIFFERENT SWARM INTELLIGENCE ALGORITHMS
| Author(s) | : | Monali Patil, Jas mine Irani, Vandana Jagtap |
| Institution | : | Computer Department, MAEER’s MIT, Pune, India. |
| Published In | : | Vol. 1, Issue 12 — December 2014 |
| Page No. | : | 86-90 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Swarm intelligence is an increasingly popular domain in artificial intelligence and computer science withemergent properties. It takes inspiration from nature, especially biological systems such as ant colonies, flocks of birds,fishschools and bee hives. Most famous examples of swarm intelligence algorithm include Ant Colony Optimization(ACO) and Particle Swarm Optimization (PSO). The vital objective of these algorithms is to employ many simple agentsapplying almost no rule which in turn leads to an emergent global behavior. This paper presents review of swarmintelligence algorithms and their application for problem solving.
Monali Patil, Jas mine Irani, Vandana Jagtap, “SURVEY OF DIFFERENT SWARM INTELLIGENCE ALGORITHMS”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 1, Issue 12, pp. 86-90, December 2014.
