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Lie-Meng Pang

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Oct 2026

Performance Comparison of Constrained Multi-objective Evolutionary Algorithms on Artificial and Real-world Benchmarking Problems

Real-world multi-objective optimization problems usually have multiple constraints. To solve constrained multi-objective optimization problems (CMOPs), researchers have proposed various constrained multi-objective evolutionary algorithms (CMOEAs). These CMOEAs explicitly or implicitly assume that there are large infeas...

Yang Nan, H. Ishibuchi, Lie-Meng Pang · 0 citations

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