In the field of swarm intelligence inspired algorithms, particle swarm optimization (PSO) is a
renowned meta-heuristic due to its simplicity, performance, and implementation. However …

Particle swarm optimization (PSO) is one of the most well-regard metaheuristics with
remarkable performance when solving diverse optimization problems. However, PSO faces …

Particle Swarm Optimization (PSO) is a swarm intelligence based and stochastic algorithm
to solve the optimization problem. Nevertheless, the traditional PSO has disadvantage from …

Particle swarm optimization (PSO) algorithm is one of the most effective and popular swarm
intelligence algorithms. In this paper, based on comparative judgment, an improved particle …

Particle swarm optimisation (PSO) has been applied to a variety of problems due to its
simplicity of implement. However, the standard PSO suffers from premature convergence …

Abstract In the original Particle Swarm Optimization (PSO), the particle position vectors
denote the potential solutions of the optimization problem. Then, the position vectors are …

Objective: In view of the issue that particle swarm optimization algorithm is easy to fall into
local optimal solution and low convergence precision when searching for the feasible space …

This article presented a parallel metaheuristic algorithm based on the Particle Swarm
Optimization (PSO) to solve global optimization problems. In recent years, many …

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 …

This paper presented an improved self‐adaptive particle swarm optimization (IDPSO)
algorithm with detection function to solve multimodal function optimization problems. To …