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Sheng-Jie Ren

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Conference Open access Sep 2026

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

A dual-population MOEA with Exploration and Exploitation Decoupled (MOEA/EED) is proposed: the exploration population uses a simple aging mechanism, while the exploitation population preserves the currently optimal solutions.

Cheng-Lin Jiang, Sheng-Jie Ren, Zi-Min Liang et al. · 3 citations
Conference Open access Sep 2026

Theoretical Analysis of Multi-Objective Evolutionary Algorithms on Integer Spaces with Local Optima

This work proves that a widely-studied MOEA, GSEMO, using unit-step mutation can be trapped in local optimal regions and fail to identify the Pareto front, and demonstrates the extendability of the proposed benchmark to more complex landscapes with numerous local optima, resembling well-established problems in the fiel...

Yue-Tong Sun, Zeqiong Lv, Sheng-Jie Ren et al. · 0 citations
Book Open access Jul 2026

Hot off the Press: A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization

This paper theoretically demonstrates that incorporating an archive to store best-found solutions enables smaller populations and enhances SPU-based MOEA performance and proves archives reduce expected running time upper bounds (even exponentially).

Sheng-Jie Ren, Zi-Min Liang, Mi-Qing Li et al. · 0 citations

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