Advanced Optimization by Nature-Inspired Algorithms -
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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 ... Full description
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Description
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.
More Information
| Publisher | Springer Nature Singapore |
|---|---|
| Series | Studies in Computational Intelligence |
| Release year | 2018 |
| Cover type | Softcover |
| EAN | 9789811353451 |