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Data-Driven Evolutionary Optimization

Integrating Evolutionary Computation, Machine Learning and Data Science

Yaochu Jin author Handing Wang author Chaoli Sun author

Format:Hardback

Publisher:Springer Nature Switzerland AG

Published:29th Jun '21

Currently unavailable, and unfortunately no date known when it will be back

Data-Driven Evolutionary Optimization cover

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.

ISBN: 9783030746391

Dimensions: unknown

Weight: 793g

393 pages