Feedback Tracking Constraint Relaxation Algorithm for Constrained Multi-Objective Optimization
In practical applications, constrained multi-objective optimization problems (CMOPs) often fail to achieve the desired results when dealing with CMOPs with different characteristics. Therefore, to address this drawback, we designed a constraint multi-objective evolutionary algorithm based on feedbac...
Saved in:
| Main Authors: | Yuling Lai, Junming Chen, Yile Chen, Hui Zeng, Jialin Cai |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/13/4/629 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Dual-Population Cooperative Correlation Evolutionary Algorithm for Constrained Multi-Objective Optimization
by: Junming Chen, et al.
Published: (2025-04-01) -
A Pareto Front Transformation Model for Multi- Objective-Based Constrained Optimization
by: Sanyou Zeng, et al.
Published: (2025-01-01) -
Extended Object Tracking Using an Orientation Vector Based on Constrained Filtering
by: Zheng Wen, et al.
Published: (2025-04-01) -
A Novel Genetic Algorithm for Constrained Multimodal Multi-Objective Optimization Problems
by: Da Feng, et al.
Published: (2025-06-01) -
An exploration-enhanced hybrid algorithm based on regularity evolution for multi-objective multi-UAV 3-D path planning
by: Zhenzu Bai, et al.
Published: (2025-03-01)