Metaheuristic Optimization Algorithms : For Local Techniques, Global Techniques, and Hybrid Techniques
Language: English
Published by De Gruyter Aug 2026, 2026
- Softcover
- New

Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Condition: New
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Neuware - The field of metaheuristic optimization has experienced a surge in novel algorithmic developments in recent years, yet there is a lack of consolidated resources focusing on these innovations, especially their categorization and applications in solving real-world problems. This work fills the gap by categorizing and detailing the most recently developed metaheuristic optimization algorithms into local, global, and hybrid methods. The authors explore various optimization algorithms like Runge Kutta Optimization, Manta Ray Foraging Optimization, and Hybrid Marine Predators Algorithm, explaining their mechanisms, pseudocode, and advantages. It also provides case studies to demonstrate their practical applications in fields like supply chain management, robotics, energy optimization, and so on. Thus, the work bridges the gap between theory and application, offering insights that will inspire further innovation and practical implementation of modern optimization techniques.
Seller Inventory # 9783119148139
- Title
- Metaheuristic Optimization Algorithms : For Local Techniques, Global Techniques, and Hybrid Techniques
- Author
- Kaushik Kumar
- Publisher
- De Gruyter Aug 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 311914813X
- ISBN 13
- 9783119148139
- Item weight
- 520 grams
- Dimensions
- 240x170x36 mm
The field of metaheuristic optimization has experienced a surge in novel algorithmic developments in recent years, yet there is a lack of consolidated resources focusing on these innovations, especially their categorization and applications in solving real-world problems. This work fills the gap by categorizing and detailing the most recently developed metaheuristic optimization algorithms into local, global, and hybrid methods. The authors explore various optimization algorithms like Runge Kutta Optimization, Manta Ray Foraging Optimization, and Hybrid Marine Predators Algorithm, explaining their mechanisms, pseudocode, and advantages. It also provides case studies to demonstrate their practical applications in fields like supply chain management, robotics, energy optimization, and so on. Thus, the work bridges the gap between theory and application, offering insights that will inspire further innovation and practical implementation of modern optimization techniques.
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About the Author
Kaushik Kumar holds a Ph.D. in Engineering from Jadavpur University, India, an MBA in Marketing Management from Indira Gandhi National Open University, India and a Bachelor of Technology from Regional Engineering College (Now National Institute of Technology), Warangal, India. For 11 years, he worked in a manufacturing unit of Global repute. He is currently working as a Professor in the Department of Mechanical Engineering, Birla Institute of Technology, Mesra, Ranchi, India. He has 23 Years of Teaching and Research Experience. His research interests include Composites, Optimization, Non-Conventional Machining, CAD / CAM, Rapid Prototyping and Quality Management Systems towards product development for societal and industrial usage and has received 31+ patents for them. He has published 55+ Books (including 31 Edited Book Volume) (They are referred as Text Books and Reference Books by 40+ Universities / Institutes in their academic curriculum), 95+ Book Chapters and 200+ Research Papers in peer-reviewed reputed national and international journals. Kaushik has also served as Editor–in–Chief, Series Editor, Guest Editor, Editor, Editorial Board Member and Reviewers for International and National Journals.
Ritesh Kumar Singh is an Associate Professor in the Department of Production & Industrial Engineering, BIT, Mesra, Ranchi, India. He has 23 years of teaching and research experience. His PhD dissertation was concerned with waste minimisation strategies in manufacturing industries. He has done post-doctoral research at INRIA Nancy, France. His research interests include continuous improvement philosophies such as lean manufacturing, TOC, Six Sigma, Reconfigurable Manufacturing Systems (RMS), supply chain management, e-sourcing, machining etc. He has authored nearly 60 technical papers in peer-reviewed journals and at various international conferences.
Sanjiv Kumar Tiwari is an Assistant Professor in the Department of Production & Industrial Engineering, Birla Institute of Technology, Mesra, Ranchi, India. He has 12 years of teaching and research experience. His Ph.D. dissertation is about continuous improvement using lean six sigma philosophy manufacturing industries. His research interests include quality engineering, decision support systems, operations research and continuous improvement philosophies like lean manufacturing, Six Sigma, etc. He has authored nearly 20 research articles in various peer-reviewed journals and conference proceedings.
Chikesh Ranjan is a highly accomplished Mechanical Engineer, PhD in Mechanical Engineering at the Department of Mechanical Engineering, Birla Institute of Technology Mesra, Ranchi, Jharkhand. He holds a Master of Engineering (M.E) degree in Mechanical Engineering with a specialization in Design of Mechanical Equipment from the same institution. Chikesh's academic journey began with a Bachelor of Engineering (B.E) in Mechanical Engineering from Marathwara Institute of Technology, Aurangabad, Maharashtra, where he graduated with First Class with distinction. His innovative contributions have been recognized through the publication of 15 journal papers, 10 authored books, and 12 book chapters. He has also been actively involved in various workshops, conferences, and webinars, organizing 10 workshops and 18 events, and coordinating 13 events. Additionally, he has participated in 31 training/FDP programs and attended 34 national/international workshops, seminars, and webinars.
"About the title" may belong to another edition of this title.
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