Stochastic Sequential Decision-Making with a Random Number of Jobs
成果类型:
Article
署名作者:
Nikolaev, Alexander G.; Jacobson, Sheldon H.
署名单位:
Northwestern University; University of Illinois System; University of Illinois Urbana-Champaign
刊物名称:
OPERATIONS RESEARCH
ISSN/ISSBN:
0030-364X
DOI:
10.1287/opre.1090.0778
发表日期:
2010
页码:
1023-1027
关键词:
knapsack-problem
assignment problem
aviation security
allocation
horizon
MODEL
摘要:
This paper addresses a class of problems in which available resources need to be optimally allocated to a random number of jobs with stochastic parameters. Optimal policies are presented for variations of the sequential stochastic assignment problem and the dynamic stochastic knapsack problem, in which the number of arriving jobs is unknown until after the final arrival, and the job parameters are assumed to be independent but not identically distributed random variables.
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