This book presents the state of the art in designing high-performance algorithms that combine simulation and optimization in order to solve complex optimization problems in science and industry, problems that involve time-consuming simulations and expensive multi-objective function evaluations. As traditional optimization approaches are not applicable per se, combinations of computational intelligence, machine learning, and high-performance computing methods are popular solutions. But finding a suitable method is a challenging task, because numerous approaches have been proposed in this highly dynamic field of research.
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₹5,759.00
High-Performance Simulation-Based Optimization
That’s where this book comes in: It covers both theory and practice, drawing on the real-world insights gained by the contributing authors, all of whom are leading researchers. Given its scope, if offers a comprehensive reference guide for researchers, practitioners, and advanced-level students interested in using computational intelligence and machine learning to solve expensive optimization problems.
₹7,330.00₹13,089.00
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| Weight | 1 kg |
|---|---|
| Dimensions | 24 × 15 × 2 cm |
| Book Author | Bogdan Filipič, El-Ghazali Talbi, Peter Korošec, Thomas Bartz-Beielstein |
| Edition | 1st |
| Format | Hardback |
| ISBN | 9783030187637 |
| Language | English |
| Pages | 304 |
| Publication Year | |
| Publisher |
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