On the multi-attribute stopping problem with general value functions

J. Cole Smith; Churlzu Lim; J. Neil Bearden

doi:10.1016/j.orl.2006.04.002

On the multi-attribute stopping problem with general value functions

J. Cole Smith, Churlzu Lim, J. Neil Bearden

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

We examine a sequential selection problem in which a single option must be selected. Each option's value is a function of its attributes, whose precise values can be ascertained at a given cost. We prove the optimality of a threshold stopping rule for a general class of objective functions.

Original language	English (US)
Pages (from-to)	324-330
Number of pages	7
Journal	Operations Research Letters
Volume	35
Issue number	3
DOIs	https://doi.org/10.1016/j.orl.2006.04.002
State	Published - May 2007
Externally published	Yes

Keywords

Dynamic programming
Multi-attribute optimization
Sequential search

ASJC Scopus subject areas

Software
Management Science and Operations Research
Industrial and Manufacturing Engineering
Applied Mathematics

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10.1016/j.orl.2006.04.002

Cite this

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title = "On the multi-attribute stopping problem with general value functions",

abstract = "We examine a sequential selection problem in which a single option must be selected. Each option's value is a function of its attributes, whose precise values can be ascertained at a given cost. We prove the optimality of a threshold stopping rule for a general class of objective functions.",

keywords = "Dynamic programming, Multi-attribute optimization, Sequential search",

author = "Smith, {J. Cole} and Churlzu Lim and Bearden, {J. Neil}",

note = "Funding Information: We gratefully acknowledge financial support by a contract F49620-03-1-0377 from the AFOSR/MURI to the Department of Systems and Industrial Engineering and the Department of Management and Policy at the University of Arizona. ",

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AU - Lim, Churlzu

AU - Bearden, J. Neil

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PY - 2007/5

Y1 - 2007/5

N2 - We examine a sequential selection problem in which a single option must be selected. Each option's value is a function of its attributes, whose precise values can be ascertained at a given cost. We prove the optimality of a threshold stopping rule for a general class of objective functions.

AB - We examine a sequential selection problem in which a single option must be selected. Each option's value is a function of its attributes, whose precise values can be ascertained at a given cost. We prove the optimality of a threshold stopping rule for a general class of objective functions.

KW - Dynamic programming

KW - Multi-attribute optimization

KW - Sequential search

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M3 - Article

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JO - Operations Research Letters

JF - Operations Research Letters

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ER -

On the multi-attribute stopping problem with general value functions

Abstract

Keywords

ASJC Scopus subject areas

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