Advanced Techniques for Modifying Metaheuristics: Methods and Applications

· Morgan Kaufmann
Ebook
350
Pages
Eligible
This book will become available on January 1, 2026. You will not be charged until it is released.

About this ebook

Metaheuristics are widely used optimization techniques that have been successfully applied in various real-world problems. However, no single metaheuristic algorithm can solve all optimization problems with the same level of efficiency and effectiveness. Advanced Techniques for Modifying Metaheuristics: Methods and Applications covers the latest developments in the field of metaheuristics modification, including theoretical aspects, empirical studies, and practical applications. The book is organized into four main parts, introducing metaheuristics and their basic concepts, the theory and principles of modifying metaheuristics, empirical studies and experimental evaluations of modified metaheuristics, and practical applications of modified metaheuristics in various fields. The modification of metaheuristics has been shown to be a promising approach for improving their performance in solving complex optimization problems. However, there is still a need for more advanced and effective techniques for modifying metaheuristics. This book provides a critical analysis of the strengths and weaknesses of different modification techniques, as well as their suitability for different types of optimization problems. It also covers the latest developments in the field, including the use of machine learning and artificial intelligence techniques for modifying metaheuristics. - 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

About the author

Dr. Navid Razmjooy is a Postdoc researcher at the industrial college of the Ankara Yıldırım Beyazıt Üniversitesi, Turkey. He is also a part-time assistant professor at the Islamic Azad University, Ardabil, Iran and an adjunct professor of Department of Computer Science and Engineering, Division of Research and Innovation, Saveetha School of Engineering, SIMATS, India. His main areas of research are the Renewable Energies, Machine Vision, Soft Computing, Data Mining, Evolutionary Algorithms, Interval Analysis, and System Control. Navid Razmjooy studied his Ph.D. in the field of Electrical Engineering (Control and Automation) from Tafresh University, Iran (2018). He is a senior member of IEEE/USA and YRC in IAU/Iran. He published more than 200 papers and 6 books in English and Persian in peer-reviewed journals and conferences and is now Editor and reviewer in several national and international journals and conferences.

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