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Cheng-Lin Jiang

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Conference Open access Sep 2026

One for Exploration and Another for Exploitation: A Dual-Population MOEA Framework with Provable Benefits

Evolutionary Algorithms (EAs) are currently the most popular tool for solving multi-objective optimization problems. Balancing exploration and exploitation is fundamental to the performance of Multi-Objective EAs (MOEAs). Achieving this requires maintaining a set of high-quality solutions for effective exploitation whi...

Cheng-Lin Jiang, Sheng-Jie Ren, Zi-Min Liang et al. · 3 citations

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