Three scheduling algorithms applied to the earth observing systems domain

Three scheduling algorithms applied to the earth observing systems domain

0.00 Avg rating0 Votes
Article ID: iaor2001342
Country: United States
Volume: 46
Issue: 1
Start Page Number: 148
End Page Number: 168
Publication Date: Jan 2000
Journal: Management Science
Authors: ,
Keywords: computational analysis, scheduling
Abstract:

This paper describes three approaches to assigning tasks to earth observing satellites (EOS). A fast and simple priority dispatch method is described and shown to produce acceptable schedules most of the time. A look ahead algorithm is then introduced that outperforms the dispatcher by about 12% with only a small increase in run time. These algorithms set the stage for the introduction of a genetic algorithm that uses job permutations as the population. The genetic approach presented here is novel in that it uses two additional binary variables, one to allow the dispatcher to occasionally skip a job in the queue and another to allow the dispatcher to occasionally allocate the worst position to the job. These variables are included in the recombination step in a natural way. The resulting schedules improve on the look ahead by as much as 15% at times and 3% on average. We define and use the ‘window-constrained packing’ problem to model the bare bones of the EOS scheduling problem.

Reviews

Required fields are marked *. Your email address will not be published.