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

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 …

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 …

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 …

Throughout the centuries, nature has been a source of inspiration, with much still to learn
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …

The Particle Swarm Optimization (PSO) algorithm, as one of the latest algorithms inspired
from the nature, was introduced in the mid 1990s and since then, it has been utilized as an …

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 …

From the past few decades many nature inspired algorithms have been developed and
gaining more popularity because of their effectiveness in solving problems of distinct …

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