Genetic algorithm (GA) is an artificial intelligence search method that uses the process of
evolution and natural selection theory and is under the umbrella of evolutionary computing …

We discuss state-of-the-art intelligent robotic aircraft with the special focus on evolutionary
autopilots for small unmanned aerial vehicles (UAVs). Under the umbrella of adaptive …

An optimised XGBoost model based on genetic algorithm to search for optimal parameter
combinations is proposed in this paper. It was proved that the improved algorithm has better …

To design an optimal fuzzy proportional-integral (PI) controller for brushless DC motor
(BLDCM), a random vibration particle swarm optimization (PSO)–gravitational search …

From a control perspective, the exact conditioning of systems with time-varying parameters
is still a challenge. Many adaptive control algorithms (Adaptive Inverse Dynamics–AID …

This paper proves the capability of the bees algorithm to solve complex parameter
optimization problems for robot manipulator control. Two applications are presented. The …

This article proposes a proximal policy optimization (PPO)-based reinforcement learning
(RL) approach for DC-DC boost converter control that is compared with traditional control …

This paper presents the design of a PID controller for a flexible single-link robot manipulator
using the Bees Algorithm. The algorithm optimises the gains of the PID controller so that it …

This study develops a condition classification system of compressor 103J and water pump
systems which are key equipment in the ammonia production line, hence the monitoring of …

Knowing the value of PID parameters is important to tune the PID controller. There are
different kinds of process to know the value of PID parameters. Genetic Algorithm is applied …