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Evolutionary Multi-Task Optimization: Foundations and Methodologies - Machine Learning: Foundations, Methodologies, and Applications Liang Feng 2023 edition
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Evolutionary Multi-Task Optimization: Foundations and Methodologies - Machine Learning: Foundations, Methodologies, and Applications
Liang Feng
In contrast to traditional evolutionary searches, which solve a single task in a single run, evolutionary multi-tasking algorithm conducts searches concurrently on multiple search spaces corresponding to different tasks or optimization problems,each possessing a unique function landscape.
219 pages, 1 Illustrations, black and white; X, 219 p. 1 illus.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 30 de marzo de 2023 |
| ISBN13 | 9789811956492 |
| Editores | Springer Verlag, Singapore |
| Páginas | 219 |
| Dimensiones | 150 × 220 × 20 mm · 518 g |
![Cover for Liang Feng · Optinformatics in Evolutionary Learning and Optimization - Adaptation, Learning, and Optimization (Paperback Book) [1st ed. 2021 edition] (2022)](https://imusic.b-cdn.net/images/item/original/228/9783030709228.jpg?liang-feng-2022-optinformatics-in-evolutionary-learning-and-optimization-adaptation-learning-and-optimization-paperback-book&class=scaled&v=1617907379)
![Cover for Liang Feng · Optinformatics in Evolutionary Learning and Optimization - Adaptation, Learning, and Optimization (Hardcover Book) [1st ed. 2021 edition] (2021)](https://imusic.b-cdn.net/images/item/original/198/9783030709198.jpg?liang-feng-2021-optinformatics-in-evolutionary-learning-and-optimization-adaptation-learning-and-optimization-hardcover-book&class=scaled&v=1613532692)