A Genetic Algorithm And An Indifference-Zone Ranking And Selection Framework For Simulation Optimization
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.
Winter Simulation Conference Proceedings
Number of Pages
Article; Proceedings Paper
Source API URL
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.