期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：9
出版社：S.S. Mishra
摘要：In airline yield management one of the difficult issues to be taken care of is the arrival pattern of the customers. If arrival pattern of the customers is known, the airlines industry can accordingly plan and optimize the ticket price and maximize its revenue. This paper is an attempt to optimize the yield of an airline industry depending on the various arrival patterns. Various arrival patterns such as uniform, normal and beta distribution are taken into consideration. The results obtained for the optimized yield have been identified and are summarized as the best possible combinations and worst combination
关键词：Beta distribution; Genetic algorithm; Normal distribution; Uniform distribution; Yield management
