Cited by 24Scheduling and Optimization AlgorithmsSatellite Communication SystemsScheduling and Timetabling Solutions

A Tabu Search Algorithm for Satellite Imaging Scheduling

Wei-Chen Lin, Da-Yin Liao·2005·2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)

Abstract

This paper deals with the daily imaging scheduling problem for a low-orbit, earth observation satellite, which belongs to a class of single-machine scheduling problems. Its salient features include sequence-dependent setup effects, job-assembly characteristics, and time window constraints. Instead of looking for the global optimal solutions, we adopt a promising evolutionary approach, tabu search, to solve this scheduling problem. Numerical results demonstrate that the approach is effective and efficient in applications to the real problems.

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Crossref · 10.1109/icsmc.2004.1399860

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1 of 1 references verified0 citation errors · 0 not checkable

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Authors
Lin, W.-C., & Liao, D.-Y.
Affiliations
  • National Taiwan University (TW)
  • National Chi Nan University (TW)
Venue
2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)
Publisher
IEEE
Published
2005-03-31
Volume
2
Pages
1601-1606
ISSN
1062-922X (ISSN-L)
OpenAlex
W2112589996
Cited by
24
References
1
Citations by year
2025: 1 · 2024: 1 · 2023: 1 · 2021: 1 · 2019: 4 · 2018: 3 · 2017: 1 · 2016: 3 · 2015: 2 · 2014: 1 · 2013: 1 · 2012: 2
FWCI
0.99
Type
conference paper
Language
en
Open access
closed
Locations
Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics (publishedVersion)
Topics
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Scheduling and Optimization Algorithms
  • Physical Sciences › Engineering › Aerospace Engineering › Satellite Communication Systems
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Scheduling and Timetabling Solutions
Keywords
tabu search, single machine scheduling, sequence-dependent setup times, time windows, evolutionary algorithms

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