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Data-Driven Evolutionary Optimization: Integrating Evolutionary Computation, Machine Learning and Data Science

By (author) Yaochu Jin, By (author) Handing Wang, By (author) Chaoli Sun

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normal price: R 7,572.95

Price: R 6,815.95


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Intended for researchers and practitioners alike, this book covers carefully selected yet broad topics in optimization, machine learning, and metaheuristics. Written by world-leading academic researchers who are extremely experienced in industrial applications, this self-contained book is the first of its kind that provides comprehensive background knowledge, particularly practical guidelines, and state-of-the-art techniques.  New algorithms are carefully explained, further elaborated with pseudocode or flowcharts, and full working source code is made freely available. This is followed by a presentation of a variety of data-driven single- and multi-objective optimization algorithms that seamlessly integrate modern machine learning such as deep learning and transfer learning with evolutionary and swarm optimization algorithms. Applications of data-driven optimization ranging from aerodynamic design, optimization of industrial processes, to deep neural architecture search are included.

| product details |



Normally shipped | Available from overseas. Usually dispatched in 14 days
Publisher | Springer Nature Switzerland AG
Published date | 30 Jun 2022
Language |
Format | Paperback / softback
Pages | 393
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0307-4642-1
Readership Age |
BISAC | computers / data processing / general


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