The present article makes an attempt to evaluate the computational performance of genetic
meta heuristic optimized control algorithms. Here, the multi-objective bio inspired algorithm …

In this article, two advanced optimization techniques in command by metaheuristic
algorithms are applied to optimally tune the controller for a robot manipulator 2 DOF. The …

Robots in the medical industry are becoming more common in daily life because of various
advantages such as quick response, less human interference, high dependability, improved …

Accepted: 22 December 2021 In this paper, the Particle Swarm Optimization algorithm
(PSO) is combined with Proportional-Derivative (PD) and Proportional-Integral-Derivative …

In this work, we are interested to the PID control of nonlinear systems and more specially the
control of a robot manipulator. The idea is to determine the optimal parameters (K_ p, K_ i K …

This study introduces and compares two optimization techniques, the basic Artificial Bee
Colony (ABC) and the enhanced Artificial Bee Colony with multi-elite guidance (MGABC), for …

The paper investigates the development of intelligent hybrid collocated and non-collocated
PID controller for hub motion and end point vibration suppression of double-link flexible …

In this study, a three degrees of freedom (3 DOF) rigid-link robotic manipulator (RLM) has
been simulated by using the Simscape model and the mathematical model derived by …

The paper introduces a comparative analysis between three meta-heuristic techniques in
the optimization of Proportional-Integral-Derivative (PID) controller for a cascaded control of …

A PID controller is an electrical element for reducing the error value between a desired
setpoint and an actual measured process variable. The PID controller operates according to …