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Data-Driven Evolutionary Optimization

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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.

Availability
Inventory Code Barcode Call Number Location Status
1908000014EB0000259519.6 Jin dCentral Library (OPAC)Available
Detail Information
Series Title
-
Call Number
519.6 Jin d
Publisher
Switzerland : .,
Collation
xxv, 393p.:Ill.
Language
English
ISBN/ISSN
978-3-030-74640-7
Classification
519.6
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
"  Mathematical Optimization "
Specific Detail Info
-
Statement of Responsibility
Other version/related

No other version available

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