A differential evolution algorithm for dynamic multi-objective optimization
Dynamic multi-objective optimization problems are widespread in real life. Artificial equivalents of the problems are abound in literature. Evolutionary algorithms are nature-inspired search algorithms used in finding optimal trade-off solutions of dynamic multi-objective optimization problems. This...
Saved in:
| Published in: | SSCI : 2017 IEEE Symposium Series on Computational Intelligence : November 27, 2017-December 1, 2017 pp. 1 - 10 |
|---|---|
| Main Authors: | , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
01.11.2017
|
| Subjects: | |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!