Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes&nbspa brief introduction to mathematical programming, metaheuristic algorithms, and machine learning techniquesPresents a systematic description of most recent research advances in data-driven evolutionary optimization, including surroga. Codice articolo 458554137

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Data-Driven Evolutionary Optimization

Yaochu Jin

Editore: Springer International Publishing, Springer Nature Switzerland Jun 2021, 2021

ISBN 10: 3030746399 ISBN 13: 9783030746391

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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 420 pp. Englisch. Codice articolo 9783030746391

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

Yaochu Jin

Editore: Springer International Publishing, Springer Nature Switzerland, 2021

ISBN 10: 3030746399 ISBN 13: 9783030746391

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Da: AHA-BUCH GmbH, Einbeck, Germania

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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Codice articolo 9783030746391

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