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

by Jin, Yaochu

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Title Statements

Full title :Data-Driven Evolutionary Optimization : Integrating Evolutionary Computation, Machine Learning and Data Science / Yaochu Jin [aut]; Handing Wang [aut]; Chaoli Sun [aut]

Summary

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.

Edition Statements

Publication Date:2021

Publication Statements

Publisher(s):Springer International Publishing
Place of Publication:Cham
Language:eng
Publication Date:2021

The Physical Object

Description:1 online resource

Edition Identifiers

ISBN:9783030746407, 3030746402, 9783030746414, 3030746410, 9783030746421, 3030746429, 9783030746391, 3030746399
DOI:10.1007/978-3-030-74640-7
oclc:on1346688448

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.