Constraint satisfaction and optimization for space station short-term mission planning based on an iterative conflict-repair method-Reference-Cited by-同舟云学术

Constraint satisfaction and optimization for space station short-term mission planning based on an iterative conflict-repair method

Published:2016-02-12 Issue:10 Volume:48 Page:1658-1678
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Bu Hui-Jiao¹,Zhang Jin¹,Luo Ya-Zhong¹

Affiliation:

1. College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, PR China

Funder

National Natural Science Foundation of China

Science Project of the National University of Defense Technology

Hunan Provincial Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2015.1137566

Reference33 articles.

1. Barreiro, J., G. Jones, and S. Schaffer. 2009. “Peer-to-Peer Planning for Space Mission Control.” Big Sky Resort, March 7-14, 2009, Big Sky, Montana, USA.

2. Cesta, A., R. Benedictis, A. Orlandini, R. Rasconi, L. Carotenuto, and A. Ceriello. 2013. “Integrating Planning and Scheduling in the ISS Fluid Science Laboratory Domain.” Proceedings of 26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, June 17-21, 2013, Amsterdam, Holland.

3. Cesta, A., G. Cortellessa, S. Fratini, and A. Oddi. 2009. “Developing an End-to-End Planning Application from a Timeline Representation Framework.” Proceedings of the twenty-first Conference on innovative Applications of Artificial Intelligence, July 14-16, 2009, Pasadena, California, USA.

4. Clement, B. J., J. Barreiro, M. J. Iatauro, R. L. Knight, and J. D. Frank. 2010. “Spatial Planning for International Space Station Crew Operations.” Proceedings of the International Symposium on Artificial Intelligence, Robotics and Automation in Space, August 30-September 1, Hokkaido, Japan.

5. Operations research in the space industry

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