Inscrutable 发表于 2025-3-25 07:18:08
http://reply.papertrans.cn/75/7411/741003/741003_21.png不能和解 发表于 2025-3-25 10:13:24
http://reply.papertrans.cn/75/7411/741003/741003_22.png极少 发表于 2025-3-25 14:01:54
LTR-HSS: A Learning-to-Rank Based Framework for Hypervolume Subset Selectiononmental selection and post-processing for decision-making. The goal of these problems is to find the optimal subset that maximizes the hypervolume from a given candidate solution set. Many methods have been developed to solve or approximately solve different types of HSS problems. However, existing注入 发表于 2025-3-25 19:53:52
Three Objectives Degrade the Convergence Ability of Dominance-Based Multi-objective Evolutionary Algorithmslutionary algorithms (MOEAs) is severely deteriorated on many-objective problems with more than three objectives. In this paper, we clearly demonstrate that the convergence ability of NSGA-II deteriorates even in the case of three objectives. Our experimental results on multi-objective knapsack and无意 发表于 2025-3-25 20:56:34
http://reply.papertrans.cn/75/7411/741003/741003_25.pngParadox 发表于 2025-3-26 00:39:01
http://reply.papertrans.cn/75/7411/741003/741003_26.pnginflame 发表于 2025-3-26 05:29:56
http://reply.papertrans.cn/75/7411/741003/741003_27.png注入 发表于 2025-3-26 10:47:20
http://reply.papertrans.cn/75/7411/741003/741003_28.pngContracture 发表于 2025-3-26 16:23:14
Bayesian Forward-Inverse Transfer for Multiobjective Optimization, within a stringent computational budget. Forward knowledge transfer is employed to fully exploit solution-evaluation datasets from related tasks by building Bayesian forward multitask surrogate models that map points from decision to objective space. Inverse knowledge transfer via Bayesian inversesubordinate 发表于 2025-3-26 16:47:27
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