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Data-Driven Evolutionary Optimization

Integrating Evolutionary Computation, Machine Learning and Data Science

Yaochu Jin, Handing Wang, Chaoli Sun
Livre broché | Anglais | Studies in Computational Intelligence | n° 975
168,95 €
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Description

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.

Spécifications

Parties prenantes

Auteur(s) :
Editeur:

Contenu

Nombre de pages :
393
Langue:
Anglais
Collection :
Tome:
n° 975

Caractéristiques

EAN:
9783030746421
Date de parution :
30-06-22
Format:
Livre broché
Format numérique:
Trade paperback (VS)
Dimensions :
156 mm x 234 mm
Poids :
585 g

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