A unified Innovized progress operator for performance enhancement in evolutionary multi-and many-objective optimization
This paper proposes a machine learning (ML) based unified innovized progress (UIP)
operator to simultaneously enhance the convergence and diversity capabilities of reference …
operator to simultaneously enhance the convergence and diversity capabilities of reference …
[PDF][PDF] A Unified I nnovized Progress Operator for Performance Enhancement in Evolutionary Multi-and Many-objective Optimization
S Mittal, DK Saxena, K Deb, ED Goodman - egr.msu.edu
Recent studies have shown that for reference-vector-(RV-) based evolutionary multi-and
many-objective optimization algorithms, denoted as RV-EMâOAs, machine learning models …
many-objective optimization algorithms, denoted as RV-EMâOAs, machine learning models …