DocumentCode
2118927
Title
A genetic algorithm and an indifference-zone ranking and selection framework for simulation optimization
Author
Hedlund, Henrik E. ; Mollaghasemi, Mansooreh
Author_Institution
Ind. Eng. & Manage. Syst., Univ. of Central Florida, Orlando, FL, USA
Volume
1
fYear
2001
fDate
2001
Firstpage
417
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
Keywords
digital simulation; genetic algorithms; search problems; stochastic processes; common random numbers; genetic algorithm; indifference-zone ranking/selection procedure; optimization algorithm; simulation models; simulation optimization; stochastic mathematical model; stochastic processes; Cities and towns; Constraint optimization; Costs; Engineering management; Genetic algorithms; Industrial engineering; Mathematical model; Optimization methods; Routing; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference, 2001. Proceedings of the Winter
Conference_Location
Arlington, VA
Print_ISBN
0-7803-7307-3
Type
conf
DOI
10.1109/WSC.2001.977313
Filename
977313
Link To Document