Combinatorial testing (CT) can efficiently detect failures caused by interactions of parameters software under test. The CT study has undergone a transition from traditional to constrained CT, which is crucial for real-world systems testing. Under this scenario, covering array generation (CCAG), vital combinatorial optimisation issue targeted with constructing test suite minimal size while prop...

A novel strategy for detecting Premature Ventricular Contraction (PVC) is proposed and investigated. The strategy employs a Swarm-based Support Vector Machine (SSVM). An SSVM is an SVM optimised by using Particle Swarm Optimisation (PSO). The strategy proposes new inputs. The inputs involve the width and the gradient of the electrocardiographic QRS wave. Experiments with different inputs and di...

Manual analysis and optimisation of ergonomic parameters can be tedious when process and worker’s body size variance is high. Automating this process would reduce workload and enable developing assistance systems for worker support. This paper presents a system which computes the positions of the parts of the body from input depth images and assesses ergonomics scores. The method is based on Pa...

Particle Swarm Optimisation (PSO) is an intelligent search method based on swarm intelligence and has been widely used in many fields. However it is also easily trapped in local optima. In this paper, we propose two hybrid PSO algorithms: one uses a Differential Evolution (DE) operator to replace the standard PSO method for updating a particle’s position; and the other integrates both the DE op...

The article presents an adaptive method, called Free Search. It implements ideas different from other evolutionary algorithms such as Genetic Algorithms, Particle Swarm Optimisation, Differential Evolution and Ant Colony Optimisation. Free Search is based on original concepts for individual intelligence and independence of the population members. It is applied to optimisation of time dependent ...