In DNA computing, the design of DNA coding sequences is an important factor affecting the
reliability of DNA computing. In different DNA sequence designs, suitable constraints should …

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 …

Inspired by the estimation capability of Kalman filter, we have recently introduced a novel
estimation-based optimization algorithm called simulated Kalman filter (SKF). Every agent in …

DNA computing is one of the more popular computational methods currently studied, but the
requirements for nucleic acid molecules in DNA sequences are high, and it is an important …

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 …

Roach infestation optimization (RIO) is a new adaption of particle swarm optimization (PSO)
that significantly improves algorithm effectiveness in finding the global optima. This paper …

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 …