no code implementations • 22 Apr 2024 • Mingyu Huang, Ke Li
This paper presents the second part of the two-part survey series on decomposition-based evolutionary multi-objective optimization where we mainly focus on discussing the literature related to multi-objective evolutionary algorithms based on decomposition (MOEA/D).
no code implementations • 5 Dec 2023 • Mingyu Huang, Ke Li
However, due to the black-box nature of combinatorial optimization, it is far from trivial to infer such similarity in real-world scenarios.
no code implementations • 23 Nov 2023 • Mingyu Huang, Ke Li
Previous efforts on hyperparameter optimization (HPO) of machine learning (ML) models predominately focus on algorithmic advances, yet little is known about the topography of the underlying hyperparameter (HP) loss landscape, which plays a fundamental role in governing the search process of HPO.
no code implementations • 9 Sep 2023 • Ji Guan, Wang Fang, Mingyu Huang, Mingsheng Ying
Quantum algorithms for solving a wide range of practical problems have been proposed in the last ten years, such as data search and analysis, product recommendation, and credit scoring.
no code implementations • 5 Jan 2022 • Mingyu Huang, Peili Mao, Ke Li
Modern software systems are often highly configurable to tailor varied requirements from diverse stakeholders.
no code implementations • IJCNLP 2019 • Lan Jiang, Shuhan Hu, Mingyu Huang, Zhichun Wang, Jinjian Yang, Xiaoju Ye, Wei Zheng
Massive Open Online Courses (MOOCs) have developed rapidly and attracted large number of learners.