Stochastic population update can provably be helpful in multi-objective evolutionary algorithms
Evolutionary algorithms (EAs) have been widely and successfully applied to solve multi-objective optimization problems, due to their nature of population-based search. Population update, a key component in multi-objective EAs (MOEAs), is usually performed in a greedy, deterministic manner. That is,...
Saved in:
| Published in: | Artificial intelligence Vol. 341; p. 104308 |
|---|---|
| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
01.04.2025
|
| ISSN: | 0004-3702 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!