Techniques for simulation response optimization

Sheldon H. Jacobson; Lee W. Schruben

doi:10.1016/0167-6377(89)90025-4

Techniques for simulation response optimization

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

Abstract

Techniques for discrete event simulation optimization are classified into four groups: path search methods, pattern search methods, random methods, and integral methods. Each class is described and a survey of recent literature is presented.

Original language	English (US)
Pages (from-to)	1-9
Number of pages	9
Journal	Operations Research Letters
Volume	8
Issue number	1
DOIs	https://doi.org/10.1016/0167-6377(89)90025-4
State	Published - Feb 1989
Externally published	Yes

Keywords

design of experiments
optimization
simulation

ASJC Scopus subject areas

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

Online availability

10.1016/0167-6377(89)90025-4

Library availability

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title = "Techniques for simulation response optimization",

abstract = "Techniques for discrete event simulation optimization are classified into four groups: path search methods, pattern search methods, random methods, and integral methods. Each class is described and a survey of recent literature is presented.",

keywords = "design of experiments, optimization, simulation",

author = "Jacobson, {Sheldon H.} and Schruben, {Lee W.}",

note = "Funding Information: * This research was partially supported by AT&T Information Systems and the US Air Force System Command, Rome Air Development Center, Griffiss Air Force Base, Rome, NY by subcontract from Syracuse University, Syracuse, NY.",

year = "1989",

month = feb,

doi = "10.1016/0167-6377(89)90025-4",

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publisher = "Elsevier B.V.",

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AU - Jacobson, Sheldon H.

AU - Schruben, Lee W.

N1 - Funding Information: * This research was partially supported by AT&T Information Systems and the US Air Force System Command, Rome Air Development Center, Griffiss Air Force Base, Rome, NY by subcontract from Syracuse University, Syracuse, NY.

PY - 1989/2

Y1 - 1989/2

N2 - Techniques for discrete event simulation optimization are classified into four groups: path search methods, pattern search methods, random methods, and integral methods. Each class is described and a survey of recent literature is presented.

AB - Techniques for discrete event simulation optimization are classified into four groups: path search methods, pattern search methods, random methods, and integral methods. Each class is described and a survey of recent literature is presented.

KW - design of experiments

KW - optimization

KW - simulation

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Techniques for simulation response optimization

Abstract

Keywords

ASJC Scopus subject areas

Online availability

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