Multi objective optimization of industrial power generation systems
Rubriek: Textual/Printed/Reference Materials - Boek
Prijs: € 205
Verzending: 2 - 3 weken
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Omschrijving:
Provides emerging research exploring the theoretical and practical aspects of the application of intelligent optimization techniques within industrial energy systems. The book features coverage on a broad range of topics, including swarm intelligence, renewable energy, and predictive modelling. 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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Product specificaties:
Taal: en
Bindwijze: Hardcover
Oorspronkelijke releasedatum: 30 december 2019
Aantal pagina's: 220
Illustraties: Nee
Hoofdauteur: Timothy Ganesan
Hoofduitgeverij: Business Science Reference
Extra groot lettertype: Nee
Product breedte: 178 mm
Product lengte: 254 mm
Studieboek: Ja
Verpakking breedte: 178 mm
Verpakking hoogte: 254 mm
Verpakking lengte: 254 mm
Verpakkingsgewicht: 633 g
EAN: 9781799817109
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