The optimization problems and algorithms are the basics subfield in artificial intelligence,
which is booming in the almost any industrial field. However, the computational cost is …

Particle swarm optimization (PSO) is a population based algorithm for solving global
optimization problems. Owing to its efficiency and simplicity, PSO has attracted many …

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) performs well for small dimensional and less complicated
problems but fails to locate global minima for complex multi-minima functions. This paper …

The concise concept and good optimization performance are the advantages of particle
swarm optimization algorithm (PSO), which makes it widely used in many fields. However …

Particle swarm optimization (PSO) is a population-based optimization technique that can be
applied to a wide range of problems. Here, we first investigate the behavior of particles in the …

Aiming at the premature convergence problem of standard Particle Swarm Optimization
(PSO) in solving complex optimization problem, a new search PSO algorithm based on …

Particle Swarm Optimization (PSO) algorithm, originated as a simulation of a simplified
social system, is an evolutionary computation technique developed successfully in recent …

Artificial intelligence (AI) has made its way in almost every field of life. From education and
health care, it has its application in expert systems, defense, speech recognition, game …

Particle swarm optimization (PSO) has been invented by inspiring social behaviors of fish or
birds to solve nonlinear global optimization problems. Since its invention, many PSO …