Data-driven evolutionary optimization: integrating evolutionary computation, machine learning and data science
Auteur :
Jin, Yaochu / Wang, Handing / Sun, Chaoli
Éditeur :
Springer Nature Switzerland AG
ISBN :
9783030746421
Date de publication :
30 juin 2022
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
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.