Particle swarm optimization is a popular nature-inspired metaheuristic algorithm and has
been used extensively to solve single-and multi-objective optimization problems over the …

Electroencephalogram (EEG) signal peak detection is widely used in clinical applications.
The peak point can be detected using several approaches, including time, frequency, time …

Particle swarm optimization (PSO) is a population-based metaheuristic optimization
algorithm that solves a problem through iterative operations. Traditional PSO iteration …

In the original particle swarm optimisation (PSO) algorithm, the particles' velocities and
positions are updated after the whole swarm performance is evaluated. This algorithm is …

An optimal robust state feedback tracking controller is introduced to control a biped robot. In
the literature, the parameters of the controller are usually determined by a tedious trial and …

Chewing is complex because of its sub-processes and interactions, and inter-individual
differences between people. The development of mechanistic models can be a tool to …

The vector evaluated particle swarm optimisation (VEPSO) algorithm was previously
improved by incorporating nondominated solutions for solving multiobjective optimisation …

Metaheuristics algorithms solve optimization problems by repeating a set of procedures. The
algorithms can be categorized based on number of agents, either single agent algorithms …

There is a growing interest of research being conducted on detecting eye blink to assist
physically impaired people for verbal communication and controlling devices using …

The purpose of this paper is to evaluate the performance of two approaches based on
Vector Evaluated Particle Swarm Optimization (VEPSO) algorithm in two real world …