Metaheuristics Methods

This book chapter provides an overview of ten recently developed metaheuristic optimization algorithms, including the dragonfly algorithm, multiverse optimizer, sine cosine algorithm, whale optimization algorithm, antlion optimizer, heat transfer search, passing vehicle search, symbiotic organisms search, grey wolf optimizer, and teaching-learning-based optimization. Each algorithm has unique search mechanisms, and their impact on different applications is difficult to predict. Therefore, evaluating these algorithms in various domains is essential to determine their efficacy for specific problems. This chapter serves as a valuable resource for researchers and practitioners interested in exploring these algorithms for solving challenging optimization problems. The MATLAB codes of these metaheuristics are also given in this book.