Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization
This book focuses on machine learning (ML) assisted evolutionary multi- and many-objective optimization (EMâO). EMâO algorithms, namely EMâOAs, iteratively evolve a set of solutions towards a good Pareto Front approximation. The availability of multiple solution sets over successive generations make...
-д хадгалсан:
| Үндсэн зохиолчид: | Saxena, Dhish Kumar (Зохиогч), Mittal, Sukrit (Зохиогч), Deb, Kalyanmoy (Зохиогч), Goodman, Erik D. (Зохиогч) |
|---|---|
| Байгууллагын зохиогч: | SpringerLink (Online service) |
| Формат: | Цахим Цахим ном |
| Хэл сонгох: | англи |
| Хэвлэсэн: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
|
| Хэвлэл: | 1st ed. 2024. |
| Цуврал: | Genetic and Evolutionary Computation,
|
| Нөхцлүүд: | |
| Онлайн хандалт: | https://doi.org/10.1007/978-981-99-2096-9 |
| Шошгууд: |
Шошго нэмэх
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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