Genetic Algorithms in Practice: Methods and Applications

Erscheinungsjahr 2026
ISBN: 978-3-032-32326-2
Verlag: Springer

Buch, Englisch, 304 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Springer Tracts in Nature-Inspired Computing

The book includes both basic concepts and sophisticated hybrid architectures that interface with modern technologies like blockchain and artificial intelligence, connecting theoretical underpinnings with real-world applications. Because of this strategy, students, researchers, and business professionals who want to comprehend and use evolutionary computation techniques will find the material to be equally beneficial. The varied case studies and different viewpoints give readers a worldwide perspective on adaptive problem-solving techniques. This book shows how genetic algorithms continue to develop as potent methods for tackling challenging real-world problems in a variety of scientific and technical fields, acting as both a reference and a useful manual.

Zielgruppe

Research

Autoren/Hrsg.

Dey, Nilanjan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
• Wirtschaftswissenschaften Betriebswirtschaft Management
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik

Inhaltsverzeichnis

1. Foundation, Significance and Real-life Applications of Genetic Algorithms.- 2.Applications of Genetic Algorithms in Disease Diagnosis.- 3. Quantum-Based Genetic Algorithms for
Decoherence Identification via Entanglement Lifetime Optimization.- 4. Application of Genetic Algorithms in Mineral Exploration and Anomaly Detection.- 5. Genetic Algorithm inspired Blockchain-AI Framework for Secure Automation.

Über Autor(innen)

Nilanjan Dey is a Professor in the Department of Computer Science and Engineering at Techno International New Town, Kolkata, India. He received his B.Tech. and M.Tech. degrees in Information Technology and his Ph.D. in Electronics and Telecommunication Engineering. His research interests span nature-inspired computing, evolutionary algorithms, ambient intelligence, and data-intensive systems. He serves as Editor-in-Chief of the and as Associate Editor of . He is also Series Co-Editor of and (Elsevier), and sits on the Editorial Board of . A Visiting Fellow at the University of Reading (UK), he is a Fellow of IETE and a Senior Member of IEEE.