An important problem in engineering is the unknown parameters estimation in nonlinear
systems. In this paper, a novel adaptive particle swarm optimization (APSO) method is …

As a novel evolutionary technique, particle swarm optimization (PSO) has received
increasing attention and wide applications in a variety of fields. In this paper, an effective …

This paper presents a methodology for finding optimal system parameters and optimal
control parameters using a novel adaptive particle swarm optimization (APSO) algorithm. In …

Although the particle swarm optimizer (PSO) has been widely used to address various
complicated engineering problems, it is likely to suffer lack of diversity and ineffectiveness of …

Particle swarm optimization (PSO) has attracted much attention and has been applied to
many scientific and engineering applications in the last decade. Most recently, an intelligent …

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

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 …

The particle swarm optimization (PSO) is a relatively new generation of combinatorial
metaheuristic algorithms which is based on a metaphor of social interaction, namely bird …

Bilinear models can approximate a large class of nonlinear systems adequately and usually
with considerable parsimony in the number of coefficients required. This paper presents the …

An improved particle swarm optimization (PSO) with adaptive weighted delay velocity (PSO-
AWDV) is proposed in this paper. A new scheme blending weighted delay velocity is firstly …