Introduces an IR2-RF operator that trains random forest on generational design-variable modifications to repair offspring in NSGA-II/III and MOEA/D, reporting improved convergence on 2-5 objective test problems without extra evaluations.
MOEA/D: A multiobjective evolu- tionary algorithm based on decomposition
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Enhanced Innovized Repair Operator for Evolutionary Multi- and Many-objective Optimization
Introduces an IR2-RF operator that trains random forest on generational design-variable modifications to repair offspring in NSGA-II/III and MOEA/D, reporting improved convergence on 2-5 objective test problems without extra evaluations.