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Advances in Metaheuristics

Applications in Engineering Systems

Format: Paperback / softback
Publisher: Taylor & Francis Inc, Bosa Roca, United States
Imprint: CRC Press Inc
Published: 23rd Nov 2016
Dimensions: w 164mm h 238mm d 13mm
Weight: 374g
ISBN-10: 1498715486
ISBN-13: 9781498715485
Barcode No: 9781498715485
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Synopsis
Advances in Metaheuristics: Applications in Engineering Systems provides details on current approaches utilized in engineering optimization. It gives a comprehensive background on metaheuristic applications, focusing on main engineering sectors such as energy, process, and materials. It discusses topics such as algorithmic enhancements and performance measurement approaches, and provides insights into the implementation of metaheuristic strategies to multi-objective optimization problems. With this book, readers can learn to solve real-world engineering optimization problems effectively using the appropriate techniques from emerging fields including evolutionary and swarm intelligence, mathematical programming, and multi-objective optimization. The ten chapters of this book are divided into three parts. The first part discusses three industrial applications in the energy sector. The second focusses on process optimization and considers three engineering applications: optimization of a three-phase separator, process plant, and a pre-treatment process. The third and final part of this book covers industrial applications in material engineering, with a particular focus on sand mould-systems. It also includes discussions on the potential improvement of algorithmic characteristics via strategic algorithmic enhancements. This book helps fill the existing gap in literature on the implementation of metaheuristics in engineering applications and real-world engineering systems. It will be an important resource for engineers and decision-makers selecting and implementing metaheuristics to solve specific engineering problems.

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"I am always looking for wonderful material in order to provide the undergraduate and graduate students the sufficient training of cutting-edge computation and optimization techniques to solve the complicated engineering problems. Compared with the other books, this book has a good combination of the theory introduction of metaheuristics algorithm and hands-on engineering projects. The selected demonstration problems are the hot topics in the engineering field. Therefore, it will become a good textbook for the engineering classes."
- Tianxing Cai, Lamar University, Texas, USA

"This book provides details on current approaches utilized in engineering optimization. It gives a comprehensive background on metaheuristic applications, focusing on main engineering sectors such as energy, process, and materials. It discusses topics such as algorithmic enhancements and performance measurement approaches, and provides insights into the implementation of metaheuristic strategies to multi-objective optimization problems. With this book, readers can learn to solve real-world engineering optimization problems effectively using the appropriate techniques from emerging fields including evolutionary and swarm intelligence, mathematical programming, and multi-objective optimization.
This book helps fill the existing gap in literature on the implementation of metaheuristics in engineering applications and real-world engineering systems. It will be an important resource for engineers and decision-makers selecting and implementing metaheuristics to solve specific engineering problems."
-Zentralblatt MATH, Germany "I am always looking for wonderful material in order to provide the undergraduate and graduate students the sufficient training of cutting-edge computation and optimization techniques to solve the complicated engineering problems. Compared with the other books, this book has a good combination of the theory introduction of metaheuristics algorithm and hands-on engineering projects. The selected demonstration problems are the hot topics in the engineering field. Therefore, it will become a good textbook for the engineering classes."
- Tianxing Cai, Lamar University, Texas, USA

"This book provides details on current approaches utilized in engineering optimization. It gives a comprehensive background on metaheuristic applications, focusing on main engineering sectors such as energy, process, and materials. It discusses topics such as algorithmic enhancements and performance measurement approaches, and provides insights into the implementation of metaheuristic strategies to multi-objective optimization problems. With this book, readers can learn to solve real-world engineering optimization problems effectively using the appropriate techniques from emerging fields including evolutionary and swarm intelligence, mathematical programming, and multi-objective optimization.
This book helps fill the existing gap in literature on the implementation of metaheuristics in engineering applications and real-world engineering systems. It will be an important resource for engineers and decision-makers selecting and implementing metaheuristics to solve specific engineering problems."
-Zentralblatt MATH, Germany