Companies are constantly changing in their organization and the way they treat information.
In this sense, relevant data analysis processes arise for decision makers. Similarly, to …

As an important research direction of swarm intelligence algorithm, particle swarm
optimization (PSO) has become a popular evolutionary method and received extensive …

This paper presents a new variant of particle swarm optimization (PSO) algorithm named
guided adaptive search-based particle swarm optimizer (GuASPSO). In this algorithm, the …

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 …

Particle swarm optimization (PSO) is one of the effective metaheuristic optimization methods
that has been used in various design problems. As the number of design variables …

Swarm Intelligence (SI) is one of the research fields that has continuously attracted
researcher attention in these last two decades. The flexibility and a well-known …

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

From the past few decades many nature inspired algorithms have been developed and
gaining more popularity because of their effectiveness in solving problems of distinct …

Several metaheuristic algorithms and improvements to the existing ones have been
presented over the years. Most of these algorithms were inspired either by nature or the …

The particle swarm optimization (PSO) algorithm is simple to implement and converges
quickly, but it easily falls into a local optimum; on the one hand, it lacks the ability to balance …