CITATION: Yoon, M. & Bekker, J. 2017. Single- and multi-objective ranking and selection procedures in simulation : a historical review. South African Journal of Industrial Engineering, 28(2):37-45, doi:10.7166/28-2-1732.The original publication is available at http://sajie.journals.ac.zaENGLISH ABSTRACT: Ranking and selection (R&S) procedures form an important research field in computer simulation and its applications. In simulation, one usually has to select the best from a number of scenarios or alternative designs. Often, the simulated processes have a stochastic nature, which means that, to distinguish alternatives, they must exhibit significant statistical differences. R&S procedures assist the decision-maker with the selection of the ...
In this thesis, we first show that the performance of ranking and selection (R&S) procedures in stea...
CITATION: Bamporiki, T. V. & Bekker, J. 2018. Development of a discrete-event, stochastic multi-obje...
In this paper we address the problem of finding the simulated system with the best (maximum or minim...
Ranking and selection (R&S) procedures form an important research field in computer simulation and i...
This is the author accepted manuscript. The final version is available from ACM via the DOI in this ...
In this paper we address the problem of finding the simulated system with the best (maximum or minim...
We describe the basic principles of ranking and selection, a collection of experiment-design techniq...
This dissertation deals with the various statistical guarantees delivered by ranking-and-selection (...
[[abstract]]In this paper, we address the problem of finding the simulated system with the best (max...
The studies of using computer simulation to address stochastic systems selection problem prevail cur...
Discrete-event simulation models are often constructed so that an analyst may compare two or more co...
To select the most suitable simulation algorithm for a given task is often difficult. This is due to...
Ranking and selection procedures (R&S) were developed by statisticians to search for the best am...
For many discrete simulation optimization applications, it is often difficult to decide which Rankin...
Statistical ranking and selection (R&S) is a collection of experiment design and analysis techniques...
In this thesis, we first show that the performance of ranking and selection (R&S) procedures in stea...
CITATION: Bamporiki, T. V. & Bekker, J. 2018. Development of a discrete-event, stochastic multi-obje...
In this paper we address the problem of finding the simulated system with the best (maximum or minim...
Ranking and selection (R&S) procedures form an important research field in computer simulation and i...
This is the author accepted manuscript. The final version is available from ACM via the DOI in this ...
In this paper we address the problem of finding the simulated system with the best (maximum or minim...
We describe the basic principles of ranking and selection, a collection of experiment-design techniq...
This dissertation deals with the various statistical guarantees delivered by ranking-and-selection (...
[[abstract]]In this paper, we address the problem of finding the simulated system with the best (max...
The studies of using computer simulation to address stochastic systems selection problem prevail cur...
Discrete-event simulation models are often constructed so that an analyst may compare two or more co...
To select the most suitable simulation algorithm for a given task is often difficult. This is due to...
Ranking and selection procedures (R&S) were developed by statisticians to search for the best am...
For many discrete simulation optimization applications, it is often difficult to decide which Rankin...
Statistical ranking and selection (R&S) is a collection of experiment design and analysis techniques...
In this thesis, we first show that the performance of ranking and selection (R&S) procedures in stea...
CITATION: Bamporiki, T. V. & Bekker, J. 2018. Development of a discrete-event, stochastic multi-obje...
In this paper we address the problem of finding the simulated system with the best (maximum or minim...