Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms
in the literature. Although the original PSO has shown good optimization performance, it still …

Particle swarm optimisation (PSO) has been enormously successful. Within little more than a
decade hundreds of papers have reported successful applications of PSO. In fact, there are …

Particle swarm optimization (PSO) is a population-based stochastic algorithm modeled on
the social behaviors observed in flocking birds. Over the past quarter century, the particle …

PARTICLE swarm optimization (PSO) is one of the evo-lutionary computation techniques. It
is a population-based search algorithm and is initialized with a population of random …

Particle swarm optimization (PSO) has shown its advantages in various optimization
problems. Topology and updating strategies are among its key concepts and have …

Particle swarm optimizer is a well-known efficient population and control parameter-based
algorithm for global optimization of different problems. This paper focuses on a new and …

Nowadays, particle swarm optimisation (PSO) is one of the most commonly used
optimisation techniques. However, PSO parameters significantly affect its computational …

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 …

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 …

Many variants with various strategies have been proposed to improve the efficiency of
Particle Swarm Optimization (PSO) algorithm. These strategies are a precious resource …