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Journal ArticleDOI

Universal alignment probabilities and subset selection for ordinal optimization

T. W. Edward Lau, +1 more
- 01 Jun 1997 - 
- Vol. 93, Iss: 3, pp 455-489
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TLDR
This paper examines in this paper the subset selection procedure in the context of ordinal optimization introduced in Ref. 1 with the suggestion of quantifiable subset selection sizes which are universally applicable to many simulation and modeling problems.
Abstract
We examine in this paper the subset selection procedure in the context of ordinal optimization introduced in Ref. 1. Major concepts including goal softening, selection subset, alignment probability, and ordered performance curve are formally introduced. A two-parameter model is devised to calculate alignment probabilities for a wide range of cases using two different selection rules: blind pick and horse race. Our major result includes the suggestion of quantifiable subset selection sizes which are universally applicable to many simulation and modeling problems, as demonstrated by the examples in this paper.

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Citations
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References
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Journal ArticleDOI

Ordinal Optimization of DEDS

TL;DR: It is argued that cardinal rather than cardinal optimization, i.e., concentrating on finding good, better, or best designs rather than on estimating accurately the performance value of these designs, offers a new, efficient, and complementary approach to the performance optimization of systems.
Book

Theory of Global Random Search

TL;DR: This paper presents an overview of the global optimization problem, a survey of the approaches for its solution, and some ways of applying statistical procedures to construct global random search algorithms.
Book

Multiple decision procedures : theory and methodology of selecting and ranking populations

TL;DR: This book can serve as a text for a graduate topics course in ranking and selection (as it has done at Purdue University for more than 30 years) and will also serve as an valuable reference for researchers and practitioners in various fields, such as agriculture, industry, engineering, and behavioral sciences.
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