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Forventes på lager: 30-06-2020
Evolutionary multi-objective optimization (EMO) has emerged as a sub-discipline of multi-objective optimization, combining the fields of evolutionary computation and classical multiple criteria decision making. This field has applications in artificial intelligence, machine learning, and data mining. This book will present new trends, methods, a
| Forlag | Taylor & Francis Ltd |
| Type | Bog |
| Format | Paperback / softback |
| Sprog | Engelsk |
| Udgivelsesdato | 30-06-2020 |
| Første udgivelsesår | 2020 |
| Serie | Chapman & Hall/CRC Computer and Information Science Series |
| Fagredaktør | Nadia (State University of Rio de Janeiro Nedjah, Luiza De Macedo Mourelle, Heitor Silverio Lopes |
| Originalsprog | United Kingdom |
| Sideantal | 218 |
| Indbinding | Paperback / softback |
| Forlag | Taylor & Francis Ltd |
| Sideoplysninger | 218 pages |
| Mål | 234 x 156 |
| ISBN-13 / EAN-13 | 9780367572808 |