Main Metaheuristic Techniques
Erik Cuevas, Jorge Galvez, Omar Avalos, Fernando Wario · 2024
This chapter explores prominent metaheuristic algorithms: genetic algorithms (GA), particle swarm optimization (PSO), and differential evolution (DE). These algorithms are widely used for their effectiveness in solving complex optimization problems and are often combined with machine learning methods to create powerful hybrid approaches. The chapter provides a detailed examination of these algorithms and their integration with machine learning to enhance performance. It includes numerous MATLAB code segments that implement these algorithms and highlight significant advancements. This comprehensive approach equips readers with both theoretical understanding and practical tools to apply and improve these metaheuristic algorithms in various problem-solving scenarios.