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Multi-Objective Optimization of Industrial Power Generation Systems: Emerging Research and Opportunities - Tapa blanda

Ganesan, Timothy

 
9781799817116: Multi-Objective Optimization of Industrial Power Generation Systems: Emerging Research and Opportunities
Tapa blanda
ISBN 10: 1799817113 ISBN 13: 9781799817116
Editorial: Engineering Science Reference, 2019

Sinopsis

The increased complexity of the economy in recent years has led to the advancement of energy generation systems. Engineers in this industrial sector have been compelled to seek contemporary methods to keep pace with the rapid development of these systems. Computational intelligence has risen as a capable method that can effectively resolve complex scenarios within the power generation sector. In-depth research on the various applications of this technology is lacking, as engineering professionals need up-to-date information on how to successfully utilize computational intelligence in industrial systems.

Multi-Objective Optimization of Industrial Power Generation Systems: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of the application of intelligent optimization techniques within industrial energy systems. Featuring coverage on a broad range of topics such as swarm intelligence, renewable energy, and predictive modeling, this book is ideally designed for industrialists, engineers, industry professionals, researchers, students, and academics seeking current research on computational intelligence frameworks within the power generation sector.

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Acerca del autor

Timothy Ganesan is currently a Senior Analyst at the Royal Bank of Canada specializing in computational intelligence and data analytics. He has experience working as a Principal Researcher for the Fuels and Combustion Section in the research and development arm of the Malaysian power producer - Tenaga Nasional Berhad (TNB). In addition to having degrees in Chemical Engineering and Computational Fluid Dynamics, he holds a Ph.D. in Process Optimization. His research interests include engineering/industrial optimization, multi-objective/multi-level programming, evolutionary algorithms, machine learning, chaos optimization, and swarm-based optimization.

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Editorial
Engineering Science Reference
Año de publicación
2019
Idioma
Inglés
ISBN 10 
1799817113
ISBN 13 
9781799817116
Encuadernación
Tapa blanda
Número de páginas
252
Contacto del fabricante
no disponible
Persona responsable
no disponible