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
Despite the recent success in a plethora of hyperparameter optimization (HPO) methods for machine learning (ML) models, the intricate interplay between model hyperparameters (HPs) and predictive losses (a. k. a fitness), which is a key prerequisite for understanding HPO, remain notably underexplored in our community.
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.