Since canonical PSO method has many disadvantages which do not allow to effectively
reach the global minima of various functions it needs to be improved. The article refers to a …

In order to improve the performance of PSO algorithm, number of its variants has been
made. This paper presents detail overview of the basic concepts of PSO and its variants …

Particle Swarm Optimization (PSO) is a well-known extensively utilized algorithm for a
distinct type of optimization problem. In meta-heuristic algorithms, population initialization …

In this paper we consider the evolutionary Particle Swarm Optimization (PSO) algorithm, for
the minimization of a computationally costly nonlinear function, in global optimization …

In the original particle swarm optimisation (PSO) algorithm, the particles' velocities and
positions are updated after the whole swarm performance is evaluated. This algorithm is …

In the year 1995, Dr RC Eberhart, who was an electrical engineer, along with Dr. James
Kennedy, a social psycologist invented a random optimization technique which a was later …

This chapter presents some of the recent modified variants of Particle Swarm Optimization
(PSO). The main focus is on the design and implementation of the modified PSO based on …

Abstract Particle Swarm Optimization (PSO) algorithm is a nature-inspired meta-heuristic
that has been utilized as a powerful optimization tool in a wide range of applications since its …

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 …

Several metaheuristic algorithms and improvements to the existing ones have been
presented over the years. Most of these algorithms were inspired either by nature or the …