Contemporary Advancement in Evolutionary Multi-objective Optimization (Genetic and Evolutionary Computation) - Hardcover

Hardcover

ISBN 10: 9819579074 ISBN 13: 9789819579075

Verlag: Springer, 2026

Inhaltsangabe

This endeavour presents a rich collection of contemporary advances in evolutionary multi-objective optimisation algorithms, blending foundational concepts with state-of-the-art research and real-world applications. Featuring contributions from leading experts, it offers clear insights into modern EMO methodologies, emerging AI-EC integrations, and diverse problem-solving domains. An essential reference for researchers, practitioners, and students exploring intelligent optimisation Algorithms. 

Über diesen Titel

Über die Autorin bzw. den Autor

Somnath Mukhopadhyay is currently an Assistant Professor in the Department of Computer Science & Engineering at Assam University, Silchar, India. He is a former Associate Professor at the Department of Computer Applications, Sikkim University, Gangtok, India. He completed his M. Tech. and Ph.D. degrees in Computer Science and Engineering at the University of Kalyani, India, in 2011 and 2015, respectively.  His research interests include Digital Image Processing, Soft Computing, Optimization Algorithms, and Hyperspectral Image Processing. He is a Senior member of IEEE, a Fellow of IETE, the General Secretary of the IEEE CIS Kolkata Chapter, a member of IEEE Young Professionals, the IEEE Geoscience and Remote Sensing Society, and a life member of the Computer Society of India.

Paramartha Dutta, born 1966, a B. Stat. (Hons.), M. Stat., M. Tech. (Computer Science), all from Indian Statistical Institute, and a Ph. D (Engineering) from the Bengal Engineering and Science University, Shibpur presently Indian Institute of Engineering Science and Technology is presently a Professor in the Department of Computer and System Sciences, Visva Bharati University, India. He is a recipient of a couple of prestigious national and international awards, he is a Fellow of IE(India), Fellow of IETE, Fellow of IET(UK), Fellow of Royal Society in Arts (UK), Senior Member of IEEE, Senior Member of ACM. Also he has (i) eight authored books (ii) thirty five edited books, (iii) around three hundred research articles published/accepted for publication in various esteemed journals, conference proceedings and book chapters in edited volumes of highly reputed International publishing houses apart from (iv) seventeen patents granted/published.

Sunita Sarkar is an Associate Professor in the Department of Computer Science & Engineering at Assam University, Silchar, India. She holds an M. Tech from Tezpur University and a PhD from Assam University, India. With over twenty years of experience in teaching and research, Dr. Sarkar has edited several books, including "AI to Improve E-Governance and Eminence of Life" with Springer Nature. She has also served as a guest editor for various journals, including "Innovations in Systems and Software Engineering" (Springer) and "SN Computer Science" (Springer).She has published over 50 papers in international journals and conference proceedings, as well as contributed chapters to edited volumes. Her research interests focus on natural language processing, soft computing, and machine learning. She is a Senior Member of IEEE, a member of IEEE Women in Engineering, and a member of the IEEE Computational Intelligence Society.

Kalyanmoy Deb is University Distinguished Professor and Koenig Endowed Chair Professor at Department of Electrical and Computer Engineering in Michigan State University, USA. Prof. Deb's research interests are in evolutionary optimization and their application in multi-criterion optimization, modeling, and machine learning. He was awarded IEEE Evolutionary Computation Pioneer Award, Infosys Prize, TWAS Prize in Engineering Sciences, CajAstur Mamdani Prize, Distinguished Alumni Award from IIT Kharagpur, Edgeworth-Pareto award, Bhatnagar Prize in Engineering Sciences, and Bessel Research award from Germany. He is fellow of ACM, IEEE, and ASME. He has published over 650 research papers with Google Scholar citation of over 235,000 with h-index 146. He is in the editorial board on 10 major international journals.

Von der hinteren Coverseite

This endeavour presents a rich collection of contemporary advances in evolutionary multi-objective optimisation algorithms, blending foundational concepts with state-of-the-art research and real-world applications. Featuring contributions from leading experts, it offers clear insights into modern EMO methodologies, emerging AI-EC integrations, and diverse problem-solving domains. An essential reference for researchers, practitioners, and students exploring intelligent optimisation Algorithms. 

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2026
• Sprache: Englisch
• ISBN 10: 9819579074
• ISBN 13: 9789819579075
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 241
• Herausgeber: Mukhopadhyay Somnath, Sarkar Sunita, Deb Kalyanmoy, Dutta Paramartha
• Kontakt zum Hersteller: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Deutschland