International Journal of Engineering, Science and Mathematics
  • Year: 2018
  • Volume: 7
  • Issue: 3

Review on Different Evolutionary Computing Techniques In Particle swarm Optimization

  • Author:
  • Leena Daniel, Krishna Teerath Chaturvedi
  • Total Page Count: 7
  • Page Number: 230 to 236

Ph. D scholar, Department of Electrical & Electronic Engineering, UIT RGPV, Bhopal (M.P.)

Online published on 4 May, 2019.

Abstract

Particle swarm optimization (PSO) technique is used mainly for non linear functions. The different types of PSO method are described in this paper. Implementations of different PSO methods are discussed and compared. Relationships between particle swarm optimization and both artificial life and evolutionary computation are reviewed. This paper describes the engineering and computer science aspects of applications, and resources related to particle swarm optimization. PSO is originated in 1995. This paper presents the review of development of PSO as well as recent development in the PSO.

Keywords

Particle swarm optimization, Inertia weight, Velocity Clamping, Multi phase PSO (MPPSO), Distribution vector PSO (DVPSO)