Prediction of Optimal Control in Multi-Server Heterogeneous Queueing System Using a Heuristic Solution and Artificial Neural Networks
Sprache des Vortragstitels:
Englisch
Original Tagungtitel:
The Second International Workshop on Stochastic Modeling and Applied Research of Technology: SMARTY 2020
Sprache des Tagungstitel:
Englisch
Original Kurzfassung:
In this paper we consider a multi-server heterogeneous queueing system where servers differ in service rates and operating costs. The
optimal allocation policy for this system is of threshold type. Gathering data for evaluated optimal threshold levels and system parameters
is performed using a policy iteration algorithm. We study the possibility to use these data-sets to provide predictions for optimal thresholds
through artificial neural networks. The obtained results are accompanied by heuristic solution based on a
uid approximation. Numerical examples illustrate the quality of provided predictions.
Sprache der Kurzfassung:
Englisch
Vortragstyp:
Hauptvortrag / Eingeladener Vortrag auf einer Tagung
Forschungs-