Advanced Optimization by Nature-Inspired Algorithms
Nonfiction, Science & Nature, Mathematics, Applied, Computers, Advanced Computing, Artificial Intelligence, General Computing
| Author: | ISBN: | 9789811052217 | |
| Publisher: | Springer Singapore | Publication: | June 30, 2017 |
| Imprint: | Springer | Language: | English |
| Author: | |
| ISBN: | 9789811052217 |
| Publisher: | Springer Singapore |
| Publication: | June 30, 2017 |
| Imprint: | Springer |
| Language: | English |
This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization.
This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization.
