Articulating user preferences in many-objective problems by sampling the weighted hypervolume
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ACM Press
Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Do Performance Aspirations Matter for Guiding Software Configuration Tuning? An Empirical Investigation under Dual Performance Objectives;ACM Transactions on Software Engineering and Methodology;2023-04-26
2. Evolutionary Many‐objective Optimization: Difficulties, Approaches, and Discussions;IEEJ Transactions on Electrical and Electronic Engineering;2023-03-17
3. Multi-objective fitness-dependent optimizer algorithm;Neural Computing and Applications;2023-02-20
4. Interactive parameter tuning of bi-objective optimisation algorithms using the empirical attainment function;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2021-07-07
5. Indicator-based Multi-objective Evolutionary Algorithms;ACM Computing Surveys;2021-03-31
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