Publications (8)
Agile Earth observation satellite scheduling over 20 years: formulations, methods and future directions
Xinwei Wang, Guohua Wu, Lining Xing +1
Agile satellites with advanced attitude maneuvering capability are the new generation of Earth observation satellites (EOSs). The continuous improvement in satellite technology and…
Pseudo Contrastive Learning for Graph-based Semi-supervised Learning
Weigang Lu, Ziyu Guan, Wei Zhao +5
Pseudo Labeling is a technique used to improve the performance of semi-supervised Graph Neural Networks (GNNs) by generating additional pseudo-labels based on confident predictions…
A Knowledge-driven Memetic Algorithm for the Energy-efficient Distributed Homogeneous Flow Shop Scheduling Problem
Yunbao Xu, Xuemei Jiang, Jun Li +2
The reduction of carbon emissions in the manufacturing industry holds significant importance in achieving the national "double carbon" target. Ensuring energy efficiency is a cruci…
EOS-Bench: A Comprehensive Benchmark for Earth Observation Satellite Scheduling
Qian Yin, Jiaxing Li, Jiaqi Cheng +23
Earth observation satellite imaging scheduling is a challenging NP-hard combinatorial optimisation problem central to space mission operations. While next-generation agile Earth ob…
Order Acceptance and Scheduling with Sequence-dependent Setup Times: a New Memetic Algorithm and Benchmark of the State of the Art
Lei He, Arthur Guijt, Mathijs de Weerdt +2
The Order Acceptance and Scheduling (OAS) problem describes a class of real-world problems such as in smart manufacturing and satellite scheduling. This problem consists of simulta…
A Distance Similarity-based Genetic Optimization Algorithm for Satellite Ground Network Planning Considering Feeding Mode
Yingying Ren, Qiuli Li, Yangyang Guo +4
With the rapid development of the satellite industry, the information transmission network based on communication satellites has gradually become a major and important part of the…