In expert systems, complex optimization problems are usually nonlinear, nonconvex,
multimodal and discontinuous. As an efficient and simple optimization algorithm, particle …

Particle swarm optimization (PSO) has been widely used to solve complex global
optimization tasks due to its implementation simplicity and inexpensive computational …

Abstract Particle Swarm Optimization (PSO) is a well-known swarm intelligence (SI)
algorithm employed for solving various optimization problems. This algorithm suffers from …

Particle swarm optimization (PSO) has been employed to solve numerous real-world
problems because of its strong optimization ability and easy implementation. However, PSO …

This paper proposes a modified particle swarm optimization algorithm with dynamic
adaptation. In this algorithm, a modified velocity updating formula of the particle is used …

An adaptive parameter tuning of particle swarm optimization based on velocity information
(APSO-VI) algorithm is proposed. In this paper the velocity convergence of particles is first …

Although particle swarm optimization algorithm (PSO) has displayed promising performance
on many optimization problems, how to balance contradictions between the exploration and …

In this paper, a novel particle swarm optimization (PSO) algorithm is put forward where a
sigmoid-function-based weighting strategy is developed to adaptively adjust the …

Over the last two decades, the newly developed optimization technique–Particle Swarm
Optimization (PSO) has attracted great attention. Two common criticisms exist. First, most …

Many optimization problems in reality have become more and more complex, which promote
the research on the improvement of different optimization algorithms. The particle swarm …