Golden Eagle Algorithm optimized PID Controller in MATLAB
Golden Eagle Optimizer is a nature-inspired metaheuristic algorithm that was developed with the aim of overcoming some of the deficiencies in existing optimization techniques. It works by simulating the behavior of golden eagles and their hunting strategies to identify the most optimal solutions for any given problem. The technique is based on two main components - an attraction and repulsion system as well as exploration, exploitation and migration behaviors. Through these elements, Golden Eagle Optimizer can accurately search for the optimal result in numerical or combinatorial problems and find cost-effective solutions faster than other methods like genetic algorithms or particle swarm optimization. It also offers superior performance with complex problems compared to other evolutionary algorithms due to its ability to effortlessly adjust parameters when necessary.