Introduction to Metaheuristics Methods
Erik Cuevas, Jorge Galvez, Omar Avalos, Fernando Wario · 2024
This chapter explores fundamental optimization concepts, emphasizing metaheuristic optimization techniques. It compares traditional and metaheuristic methods, highlighting their differences and benefits. The chapter categorizes and defines various metaheuristic strategies and examines key mechanisms underlying these methods. It includes analyses of two simple metaheuristic strategies: random search and simulated annealing, illustrating their application and effectiveness. Additionally, the chapter features several MATLAB implementations, providing practical examples to enhance understanding and bridge the gap between theory and practice, enabling readers to apply these techniques to their own optimization problems.