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Könyv Optimization of a Multi-Echelon Repair System Via Generalized Pattern Search with Ranking and Selection Derek Tharaldson

Optimization of a Multi-Echelon Repair System Via Generalized Pattern Search with Ranking and Selection

A Computational Study

Szerző: Derek Tharaldson
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Biblioscholar
Elérhetőség: Beszállítói készleten
Küldés 14-21 napon belül
6 263 Ft
With increasing developments in computer technology and available software, simulation is becoming a...

Információk a könyvről

Szerző
Derek Tharaldson
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2012
oldal
58
EAN
9781249450764
ISBN
9781249450764
Enbook ID
08138216
Kiadó
Biblioscholar
Súly
122
Méretek
189 x 246 x 3

Teljes leírás

With increasing developments in computer technology and available software, simulation is becoming a widely used tool to model, analyze, and improve a real world system or process. However, simulation in itself is not an optimization approach. Common optimization procedures require either an explicit mathematical formulation or numerous function evaluations at improving iterative points. Mathematical formulation is generally impossible for problems where simulation is relevant, which are characteristically the types of problems that arise in practical applications. Further complicating matters is the variability in the simulation response which can cause problems in iterative techniques using the simulation model as a function generator. The mixed-variable generalized pattern search with ranking and selection (MGPS-RS) algorithm for stochastic response problems is applied to an external simulation model, by means of the NOMADm MATLAB software package. Numerical results are provided for several configurations of a simulation model representing a multi-echelon repairable problem containing discrete, continuous, and categorical variables. Computational experience results are presented.

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