Title
A Genetic Algorithm And An Indifference-Zone Ranking And Selection Framework For Simulation Optimization
Abstract
A methodology for optimization of simulation models is presented. The methodology is based on a genetic algorithm in conjunction with an indifference-zone ranking and selection procedure under common random numbers. An application of this optimization algorithm to a stochastic mathematical model is provided in this paper.
Publication Date
12-1-2001
Publication Title
Winter Simulation Conference Proceedings
Volume
1
Number of Pages
417-421
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
0035696433 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0035696433
STARS Citation
Hedlund, Henrik E. and Mollaghasemi, Mansooreh, "A Genetic Algorithm And An Indifference-Zone Ranking And Selection Framework For Simulation Optimization" (2001). Scopus Export 2000s. 86.
https://stars.library.ucf.edu/scopus2000/86