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Data-Driven Evolutionary Optimization

Integrating Evolutionary Computation, Machine Learning and Data Science

Language EnglishEnglish
Book Paperback
Book Data-Driven Evolutionary Optimization Yaochu Jin
Libristo code: 39282744
Publishers Springer, Berlin, November 2021
Intended for researchers and practitioners alike, this book covers carefully selected yet broad topi... Full description
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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.

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About the book

Full name Data-Driven Evolutionary Optimization
Language English
Binding Book - Paperback
Date of issue 2022
Number of pages 393
EAN 9783030746421
Libristo code 39282744
Publishers Springer, Berlin
Weight 584
Dimensions 155 x 235 x 23
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