Wiley Encyclopedia of Computer Science and Engineering 2008
DOI: 10.1002/9780470050118.ecse371
|View full text |Cite
|
Sign up to set email alerts
|

Gradient‐Based Optimization Techniques for Discrete Event Systems Simulation

Abstract: This article considers the design, analysis, and operation of discrete event systems (DES) with performance J (θ) depending on the value of certain continuous decision parameters θεΘ. This sensitivity information is useful for assessing the relative importance of each parameter θ, studying the local functional behavior, and constructing of J (θ) over Θ. In addition to this valuable descriptive information, the sensitivity information is of prime importance in opt… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2012
2012
2013
2013

Publication Types

Select...
2

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 42 publications
0
1
0
Order By: Relevance
“…This auxiliary model is often referred to as a local response surface model (known also as a metamodel). 7 Local response surface models may have different objectives: model simplification and interpretation, 8 optimization, 9,10 what-if analysis, 11 and generalization to models of the same type. The following polynomial model can be used as an auxiliary model:…”
Section: Tools For Setting Production Design Parametersmentioning
confidence: 99%
“…This auxiliary model is often referred to as a local response surface model (known also as a metamodel). 7 Local response surface models may have different objectives: model simplification and interpretation, 8 optimization, 9,10 what-if analysis, 11 and generalization to models of the same type. The following polynomial model can be used as an auxiliary model:…”
Section: Tools For Setting Production Design Parametersmentioning
confidence: 99%