• Covers the theoretical aspects of modifying metaheuristics, including the use of machine learning and artificial intelligence techniques.
• Presents empirical studies and experimental evaluations of modified metaheuristics, which is valuable to practitioners who need to know how different modification techniques perform in practice, and to select the most appropriate modification techniques for different types of optimization problems.
• Shows practical applications of modified metaheuristics in various fields, including engineering, finance, and healthcare, enabling both researchers and practitioners to apply modified metaheuristics to real-world problems and understand their impact on different fields.