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Author

Chao Qian

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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
Book Open access Jul 2026

Hot off the Press: Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms

This work analytically present that stochastic population update can be beneficial for the search of MOEAs, and proves that the expected running time of two well-established MOEAs, SMS-EMOA and NSGA-II, for solving two bi-objective problems can be exponentially decreased if replacing its deterministic population update...

Chao Bian, Yawen Zhou, Miqing Li et al. · 0 citations

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