Exact and Inexact Scheduling Algorithms for Multiple Earth Observation Satellites Under Uncertainties of Clouds-Reference-Cited by-同舟云学术

Exact and Inexact Scheduling Algorithms for Multiple Earth Observation Satellites Under Uncertainties of Clouds

Published:2015 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Wang Jianjiang,Demeulemeester Erik,Qiu Dishan,Liu Jin

Publisher

Elsevier BV

Reference50 articles.

1. Exact and approximate methods for the daily management of an earth observation satellite;J C Agn�se;proceedings of the fifth ESA workshop on aritificial intelligence and knowledge based systems for space,1995

2. Scheduling space-ground communications for the air force satellite control network;L Barbulescu;Journal of Scheduling,2004

3. Feasibility of autonomous decision making on board an agile earth-observing satellite;G Beaumet;Computation Intelligence,2011

4. Upper bounds for revenue maximization in a satellite scheduling problem;T Benoist;Quarterly Journal of the Belgian,2004

5. Exact and inexact methods for the daily management of an earth observation satellite;E Bensana;Proceedings of the international symposium on space mission operations and ground data systems,1996

Cited by 6 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. A mixed framework to support heterogeneous collection asset scheduling;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2019-07-13

2. Mixed Open-and-Closed Loop Satellite Task Planning;2019 22th International Conference on Information Fusion (FUSION);2019-07

3. A new hybrid genetic algorithm for the collection scheduling problem for a satellite constellation;Journal of the Operational Research Society;2019-06-26

4. Collection Planning and Scheduling for Multiple Heterogeneous Satellite Missions: Survey, Optimization Problem, and Mathematical Programming Formulation;Springer Optimization and Its Applications;2019

5. Deep Reinforcement Learning for Multi-satellite Collection Scheduling;Theory and Practice of Natural Computing;2019