Abstract
Abstract In Olson, Wright, and McKell's recent paper on the design of oil pollution detection schedules, an interesting and inventive development and application of a Markov Decision Process was presented. Optimal schedules for patrol flights of surveillance aircraft were found using linear programming. In this paper the model has been reformulated as a discrete time semi-Markov process. Significant computational advantages accrue from this alternative approach.
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