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.· Proceedings of the Thirty-Fi...· 3 citations
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.· Proceedings of the Thirty-Fi...· 0 citations
A CTD approach that decouples convergence and diversity into two stages, aiming to quickly drive the search toward a single point on the Pareto front and focuses on diversity, aiming to spread solutions across the front.
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.· GECCO Companion· 0 citations
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.· GECCO Companion· 0 citations
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