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Meta Heuristic Techniques in Software Engineering and Its Applications

METASOFT 2022
Artikelnummer: 978-3-031-11769-5
Einband: Kartonierter Einband (Kt)
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This book discusses an integration of machine learning with metaheuristic techniques that provide more robust and efficient ways to address traditional optimization problems. Modern metaheuristic techniques, along with their main characteristics and recent applications in artificial intelligence, software engineering, data mining, planning and scheduling, logistics and supply chains, are discussed in this book and help global leaders in fast decision making by providing quality solutions to important problems in business, engineering, economics and science. Novel ways are also discovered to attack unsolved problems in software testing and machine learning. The discussion on foundations of optimization and algorithms leads beginners to apply current approaches to optimization problems. The discussed metaheuristic algorithms include genetic algorithms, simulated annealing, ant algorithms, bee algorithms and particle swarm optimization. New developments on metaheuristics attract researchers and practitioners to apply hybrid metaheuristics in real scenarios.

This book discusses an integration of machine learning with metaheuristic techniques that provide more robust and efficient ways to address traditional optimization problems. Modern metaheuristic techniques, along with their main characteristics and recent applications in artificial intelligence, software engineering, data mining, planning and scheduling, logistics and supply chains, are discussed in this book and help global leaders in fast decision making by providing quality solutions to important problems in business, engineering, economics and science. Novel ways are also discovered to attack unsolved problems in software testing and machine learning. The discussion on foundations of optimization and algorithms leads beginners to apply current approaches to optimization problems. The discussed metaheuristic algorithms include genetic algorithms, simulated annealing, ant algorithms, bee algorithms and particle swarm optimization. New developments on metaheuristics attract researchers and practitioners to apply hybrid metaheuristics in real scenarios.

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VerlagSpringer
EinbandKartonierter Einband (Kt)
Erscheinungsjahr2023
Seitenangabe368 S.
AusgabekennzeichenEnglisch
MasseH23.5 cm x B15.5 cm x D2.0 cm 557 g
ReiheArtificial Intelligence-Enhanced Software and Systems Engineering
AutorMohanty, Mihir Narayan (Hrsg.) / Das, Swagatam (Hrsg.) / Ray, Mitrabinda (Hrsg.) / Patra, Bichitrananda (Hrsg.)

Alle Bände der Reihe "Artificial Intelligence-Enhanced Software and Systems Engineering"

Über den Autor Mihir Narayan (Hrsg.) Mohanty

Mihir Narayan Mohanty>120) Book Chapters (>100), Conferences Proceedings (>200) over the 25 years of teaching and research experience. He has also co-edited four books of Springer in the area of Advances in Artificial Intelligence. His area of research interests includes Applied Signal and Image Processing, Biomedical Signal Processing, Microwave Communication Engineering and Speech Processing. He is having total 2394 Google scholar citation with h-index 23, and i-10 index 60. He has successfully guided six Ph.D. scholars and currently seven scholars are working under him. He has delivered number of talks and guest lecturers in various countries including China, Singapore, Malasiya, UAE, Thailand. He has organized various international conferences and faculty development programs.Bibhuprasad Mohantyis presently working as a Professor and Head in the Department of Electronics and Communication Engineering, Institute of Technical Education and Research, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India. He is the member of IEEE, IET and IE(I). He has published more than 85 research papers in various high index International Journals with over the 25 years of teaching and research experience. He has also co-edited four books of Springer in the area of Advances in Artificial Intelligence. His area of research interests includes Applied Signal and Image Processing, Biomedical Signal Processing, Communication Engineering and Speech Processing.Kandarpa Kumar Sarmacurrently Professor and Head, Department of Electronics and Communication Engineering, GUIST, Gauhati University, India specializes in mobile communication, artificial intelligence, human-computer interaction, cognitive and software-defined radio, speech processing and antenna design. He completed MTech in Signal Processing in 2005 from IIT Guwahati, India. He also completed PhD from IIT Guwahati in the area of mobile communication in 2012. He is a Senior Member of IEEE (USA) and a fellow of the Institution of Electronics and Telecommunication Engineers (IETE) (India).Dmitrii KaplanAssociate Professor (2015), Lead Researcher (2020) at Saint Petersburg Electrotechnical University "LETI" (Saint Petersburg, Russia), Full Professor (2023) at China University of Mining and Technology. The current research and academic work are related with digital signal and image processing, embedded and reconfigurable systems, computer vision and machine learning. The most substantial results are in the fields of digital signal and image processing, embedded systems and machine learning. Author of more than 100 papers in journals, including leading journals, and conference proceedings. He is an Associate/Guest Editor/Editorial Board Member such journals as Frontiers in Neuroinformatics, Industrial Artificial Intelligence, Scientific Reports.

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