Algorithms for parallel machine scheduling: a case study of the tracking and data relay satellite system

S Rojanasoonthon (), J F Bard () and S D Reddy
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S Rojanasoonthon: Graduate Program in Operations Research, University of Texas
J F Bard: Graduate Program in Operations Research, University of Texas
S D Reddy: Computer Sciences Corporation, New Carrollton

Journal of the Operational Research Society, 2003, vol. 54, issue 8, 806-821

Abstract: Abstract This paper presents two algorithms for scheduling a set of jobs with multiple priorities on non-homogeneous, parallel machines. The application of interest involves the tracking and data relay satellite system run by the US National Aeronautics and Space Administration. This system acts as a relay platform for Earth-orbiting vehicles that wish to communicate periodically with ground stations. The problem is introduced and then compared to other more common scheduling and routing problems. Next, a mixed-integer linear programming formulation is given but was found to be too difficult to solve for instances of realistic size. This led to the development of a dynamic programming-like heuristic and a greedy randomized adaptive search procedure. Each is described in some detail and then compared using data from a typical busy day scenario.

Keywords: parallel machine scheduling; range scheduling; job priorities; GRASP; heuristics; dynamic programming (search for similar items in EconPapers)
Date: 2003
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Citations: View citations in EconPapers (4)

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DOI: 10.1057/palgrave.jors.2601575

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