Advanced Optimization by Nature-Inspired Algorithms [electronic resource] /
- 1st ed. 2018.
- XV, 159 p. 34 illus., 4 illus. in color. | Binding - Card Paper |
- Studies in Computational Intelligence, 720 1860-949X ; .
- Studies in Computational Intelligence, 720 .
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.
9789811052217
Computer Engineering
Artificial Intelligence. Operations Research/Decision Theory. Theoretical and Applied Mechanics. Computer Imaging, Vision, Pattern Recognition and Graphics.
006.3
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.
9789811052217
Computer Engineering
Artificial Intelligence. Operations Research/Decision Theory. Theoretical and Applied Mechanics. Computer Imaging, Vision, Pattern Recognition and Graphics.
006.3