Tabu-Based Large Neighbourhood Search for Time-Dependent Multi-Orbit Agile Satellite Scheduling

Conference paper (2018)

Authors

L. He Algorithmics - , National University of Defense Technology

M.M. de Weerdt Algorithmics -

N. Yorke-Smith Algorithmics -

Xiaolu Liu National University of Defense Technology

Yingwu Chen National University of Defense Technology

Research Group

Algorithmics () (TU Delft)

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http://resolver.tudelft.nl/uuid:28c63d14-06fa-431c-9d91-b43fd435831d

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Published Date

2018

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Algorithmics

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

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