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 ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Izdevējs | Springer Nature Singapore |
|---|---|
| Series | Studies in Computational Intelligence |
| Izlaides gads | 2017 |
| Vāka tips | Cietais vāks |
| EAN | 9789811052200 |