Data-Driven Evolutionary Optimization

Integrating Evolutionary Computation, Machine Learning and Data Science

Yaochu Jin, Handing Wang, Chaoli Sun (Autoren)

Buch | Softcover

XXV, 393 Seiten

2022
Springer International Publishing (Verlag)
9783030746421 (ISBN)

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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.

Introduction to Optimization.- Classical Optimization Algorithms.- Evolutionary and Swarm Optimization.- Introduction to Machine Learning.- Data-Driven Surrogate-Assisted Evolutionary Optimization.- Multi-Surrogate-Assisted Single-Objective Optimization.- Surrogate-Assisted Multi-Objective Evolutionary Optimization.

Erscheinungsdatum	02.07.2022
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	XXV, 393 p. 159 illus., 76 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	640 g
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Technik
Schlagworte	Computational Intelligence • Data-Driven Evolutionary Optimization • evolutionary optimization • machine learning techniques • Metaheuristic Algorithms
ISBN-13	9783030746421 / 9783030746421
Zustand	Neuware