• Anglický jazyk

Data-Driven Evolutionary Optimization

Autor: Yaochu Jin

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,... Viac o knihe

Na objednávku

158.39 €

bežná cena: 175.99 €

O knihe

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.

  • Vydavateľstvo: Springer International Publishing
  • Rok vydania: 2021
  • Formát: Hardback
  • Rozmer: 241 x 160 mm
  • Jazyk: Anglický jazyk
  • ISBN: 9783030746391

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