Abstract
Airlines sell the same seat at different prices according to the time at which the reservation is made and other conditions. Thus the same seat can be sold at different prices. The problem is to find an optimal policy that maximizes total expected revenue. In this paper, a new intelligent technique of constructing optimal airline seat protection levels for multiple nested fare classes of single-leg flights is proposed. A number of results useful for practical applications are obtained. An illustrative example is given.
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