Abstract
Agile Earth observation satellite (AEOS) scheduling is complex, due to long visible time windows and time-dependent transitions between observations. We introduce a generic approach suited for scheduling problems characterised by time-dependency and/or sequence-dependency. Our approach is a novel hybridization of adaptive large neighbourhood search (ALNS) and tabu search. We further introduce partial sequence dominance and insertion position ordering operators to the ALNS. Extensive computational results on a real-world multi-orbit AEOS observation scheduling benchmark show that the hybrid ALNS robustly outperforms an improved mixed integer programming model and two recent state-of-the-art metaheuristic methods. The proposed method increases solution quality by more than 10% and reduces calculation time by more than 70% on average
Original language | English |
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Title of host publication | SPARK 2018 |
Subtitle of host publication | Proceedings of the 11th International Workshop on Scheduling and Planning Applications (SPARK) |
Editors | S. Bernardini, S, Parkinson, K. Talamadupula |
Pages | 45-52 |
Number of pages | 8 |
Publication status | Published - 2018 |
Event | SPARK 2018: The 11th International Workshop on Scheduling and > Planning Applications - Delft, Netherlands Duration: 24 Jun 2019 → 29 Jun 2019 Conference number: 11th |
Conference
Conference | SPARK 2018 |
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Country/Territory | Netherlands |
City | Delft |
Period | 24/06/19 → 29/06/19 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.