no code implementations • 20 Apr 2024 • Yaqing Hou, Wenqiang Ma, Abhishek Gupta, Kavitesh Kumar Bali, Hongwei Ge, Qiang Zhang, Carlos A. Coello Coello, Yew-Soon Ong
This paper pioneers a practical TrEO benchmark suite, integrating problems from the literature categorized based on the three essential aspects of Big Source Task-Instances: volume, variety, and velocity.
1 code implementation • 7 Feb 2024 • Yinghao Song, Zhiyuan Cao, Wanhong Xiang, Sifan Long, Bo Yang, Hongwei Ge, Yanchun Liang, Chunguo Wu
Second, the predicting model (PM) enhances the brightness of pseudo low-light images.
no code implementations • 30 Dec 2023 • Yaqing Hou, Mingyang Sun, Abhishek Gupta, Yaochu Jin, Haiyin Piao, Hongwei Ge, Qiang Zhang
In this paper, we scale evolutionary algorithms to high-dimensional optimization problems that deceptively possess a low effective dimensionality (certain dimensions do not significantly affect the objective function).
no code implementations • ICCV 2019 • Hongwei Ge, Zehang Yan, Kai Zhang, Mingde Zhao, Liang Sun
In the training process, the forward and backward LSTMs encode the succeeding and preceding words into their respective hidden states by simultaneously constructing the whole sentence in a complementary manner.
no code implementations • 12 Apr 2019 • Mingde Zhao, Hongwei Ge, Kai Zhang, Yaqing Hou
The infeasible parts of the objective space in difficult many-objective optimization problems cause trouble for evolutionary algorithms.
no code implementations • 17 Dec 2018 • Mingde Zhao, Hongwei Ge, Yi Lian, Kai Zhang
The generalization abilities of heuristic optimizers may deteriorate with the increment of the search space dimensionality.
no code implementations • 3 Mar 2018 • Hongwei Ge, Mingde Zhao, Liang Sun, Zhen Wang, Guozhen Tan, Qiang Zhang, C. L. Philip Chen
This paper proposes a many-objective optimization algorithm with two interacting processes: cascade clustering and reference point incremental learning (CLIA).