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

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

Indexed In: SCOPUS
Release Date: December, 2019|Copyright: © 2020 |Pages: 233
DOI: 10.4018/978-1-7998-1710-9
ISBN13: 9781799817109|ISBN10: 1799817105|ISBN13 Softcover: 9781799817116|EISBN13: 9781799817123
Hardcover:
Available
$215.00
TOTAL SAVINGS: $215.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
Hardcover:
Available
$215.00
TOTAL SAVINGS: $215.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
E-Book:
Available
$215.00
TOTAL SAVINGS: $215.00
Benefits
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • PDF download
E-Book:
Available
$215.00
TOTAL SAVINGS: $215.00
Benefits
  • Immediate access after purchase
  • No DRM
  • PDF download
  • Receive a 10% Discount on eBooks
Hardcover +
E-Book:
Available
$260.00
TOTAL SAVINGS: $260.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • PDF download
Hardcover +
E-Book:
Available
$260.00
TOTAL SAVINGS: $260.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Immediate access after purchase
  • No DRM
  • PDF download
Softcover:
Available
$165.00
TOTAL SAVINGS: $165.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
Softcover:
Available
$165.00
TOTAL SAVINGS: $165.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
Article Processing Charge:
Available
$1,500.00
TOTAL SAVINGS: $1,500.00
OnDemand:
(Individual Chapters)
Available
$37.50
TOTAL SAVINGS: $37.50
Benefits
  • Purchase individual chapters from this book
  • Immediate PDF download after purchase or access through your personal library
Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Biofuel Supply Chain
  • Computational Intelligence
  • Distributed Generation
  • Energy Systems
  • Metaheuristics
  • Multi-Objective Optimization
  • Predictive Modeling
  • Renewable Energy
  • Swarm Intelligence
  • Waste Heat Recovery
Download OnDemand Chapters Banner
Table of Contents
Search this Book:
Reset
Editor/Author Biographies

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.

Abstracting & Indexing
Archiving
All of IGI Global's content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global published content is available in IGI Global's InfoSci® platform.