Swarm Intelligence an Inspiration from Social Insect Behaviour in Various Decision Making Algorithms

Author(s):

Arpita Jain , SAL college of Engineering, Ahemedabad

Keywords:

Swarm intelligence, Ant Colony Optimization, Particle Swarm Optimization, Artificial intelligence, Double Bridge, Travelling Salesman Problem

Abstract:

A swarm is a large number of homologous, intelligible workers collaborating locally among themselves, and their environment, with no paramount control. The intelligence possessed by these swarms is known as swarm intelligence. Swarm Intelligence (SI) is a branch of Artificial Intelligence (AI) that is used to model the cumulative behavior of social swarms in nature, such as ant colonies, honey bees, and bird flocks. This paper focuses on the how the intelligence from the swarms has exhilarated for the development of various algorithms for solving hard problems and it also outlines two of the most acknowledged methods of optimization techniques motivated by swarm intelligence: Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO).

Other Details:

Manuscript Id	:	IJSTEV3I10033
Published in	:	Volume : 3, Issue : 10
Publication Date	:	01/05/2017
Page(s)	:	48-55

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