Optimization is a mathematical technique that concerns the finding of maxima or minima of
functions in some feasible region. There is no business or industry which is not involved in …

The general purpose optimization method known as Particle Swarm Optimization (PSO) has
a number of parameters that determine its behaviour and efficacy in optimizing a given …

This paper presents an overview of the research progress in Particle Swarm Optimization
(PSO) during 1995–2017. Fifty two papers have been reviewed. They have been …

In this work, an algorithm for classical particle swarm optimization (PSO) has been
discussed. Also, its codes in MATLAB environment have been included. The effectiveness of …

Particle swarm optimization (PSO) is a heuristic global optimization method. PSO was
motivated by the social behavior of organisms, such as bird flocking, fish schooling and …

Particle swarm optimization (PSO) is a heuristic global optimization method, proposed
originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used …

Particle swarm optimization (PSO) algorithm is such a simple, easily understood and
realizable concept that it has been developing rapidly and has been applied widely since it …

Particle swarm optimization (PSO) is one of the most famous swarm-based optimization
techniques inspired by nature. Due to its properties of flexibility and easy implementation …

A novel competitive approach to particle swarm optimization (PSO) algorithms is proposed
in this paper. The proposed method uses extrapolation technique with PSO (ePSO) for …

ABSTRACT Particle Swarm Optimization (PSO) is a biologically inspired computational
search and optimization method developed in 1995 by Eberhart and Kennedy based on the …