Advances in Metaheuristics

Rezensionen / Stimmen

"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