Mohd Herwan Sulaiman, Zuriani Mustaffa

eBook, ePUB

Intelligent Energy Systems using the Barnacles Mating Optimizer and Evolutionary Mating Algorithm (eBook, ePUB)

Foundations, Methods, and Applications

Beschreibung

Intelligent Energy Systems using the Barnacles Mating Optimizer and Evolutionary Mating Algorithm: Foundations, Methods, and Applications reveals the potential of innovative optimization algorithms to support sustainability in modern energy systems. This book provides a multidisciplinary foundation for the reader, with Part I breaking down fundamentals including the challenges to be addressed in renewable energy systems and detailed methodologies including swarm-, physics-, and human-based algorithms, before introducing the Barnacles Mating Optimizer and Evolutionary Mating Algorithm themselves. Part II drills deeper into examples, case studies, and applications for energy systems, offering comparative analysis with alternative tools, and providing complimentary MATLAB code using the latest Toolbox. A sandbox for readers to learn, skill-build, and develop in, 'Intelligent Energy Systems using BMO and EMA' provides an indispensable guide to these cutting-edge AI tools for new and experienced readers. - Builds step-by-step from foundational principles to complex applications in sustainable energy systems - Includes case studies, tools, and complimentary MATLAB code to try out, rework, and apply to new problems - Guides readers through these innovative methods, as part of the ground-breaking Advances in Intelligent Energy Systems

Technische Details

• Geräte: eReader
• ohne Kopierschutz
• Größe: 16.5MB

Barrierefreiheit

• Text-to-Speech

Autor

Mohamed Herwan Sulaiman currently serves as an Associate Professor in the Faculty of Electrical and Electronics Engineering Technology at the Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA), Malaysia. His research interests lie in power system optimization and swarm intelligence applications to power system studies. He has authored and co-authored more than 150 technical papers in the international journals and conferences and has been invited as a Journal reviewer for several international impact journals in the field of power systems and soft computing applications and many more.Zuriani Mustaffa is a Senior Lecturer in the Faculty of Computing, Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA), Malaysia. She holds a PhD in Computer Science from the Universiti Utara Malaysia. Her research interests include Computational Intelligence (CI) algorithm and machine learning techniques. Her research area focuses on hybrid algorithms which involves optimization and machine learning techniques with particular attention for time series predictive analysis

Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 250
• Erscheinungstermin: 1. November 2025
• Englisch
• ISBN-13: 9780443337765
• Artikelnr.: 75834904