.png){kind=icon}
.png){kind=icon}
Return
Feasibility-guided search and prediction for dynamic constrained multiobjective evolutionary optimization
.png){kind=icon}
PRE
AI
DOI：10.1016/j.swevo.2025.102157.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• FGES is proposed to help the population balance feasibility, convergence, and diversity. • FIGP predicts changes in feasible solutions using past data to train a neural network. • FGSP combines FGES and FIGP to solve DCMOPs, validated on benchmarks and a real case.
Journal
IF:
8.5
Papers:
2.1K
Citations:
1.0W