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 …

Data clustering is one of the most popular techniques in data mining. It is a process of
partitioning an unlabeled dataset into groups, where each group contains objects which are …

Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …

An adaptive particle swarm optimization (APSO) that features better search efficiency than
classical particle swarm optimization (PSO) is presented. More importantly, it can perform a …

This paper introduces the basic algorithm and search strategies of particle swarm
optimization (PSO), via presenting the concepts of swap operator and swap sequence an …

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

A hybrid particle swarm with differential evolution operator, termed DEPSO, which provide
the bell-shaped mutations with consensus on the population diversity along with the …

Data clustering is one of the most popular techniques in data mining. It is a method of
grouping data into clusters, in which each cluster must have data of great similarity and high …

High-dimensional problems are ubiquitous in many fields, yet still remain challenging to be
solved. To tackle such problems with high effectiveness and efficiency, this article proposes …

In this paper, we propose a novel technique for the automatic design of Artificial Neural
Networks (ANNs) by evolving to the optimal network configuration (s) within an architecture …