In this work, we investigate single-objective optimisation of discrete-event simulation (DES) models with evolutionary algorithms. We study genetic algorithms (GAs) and perform comparative analysis of the results from DES models of serial production lines where average steady-state throughput is considered as the performance criterion. We perform empirical analysis of different GA settings to identify ideal parameters in simulation-based optimisation. We experiment on different sized problems. The empirical results have shown the efficiency of GAs in simulationbased optimisation of production lines through buffer allocation.
|Title of host publication||Proceedings of the Operational Research Society 4th Simulation Workshop (SW08)|
|Publication status||Published - 2008|
|Event||Operational Research Society 4th Simulation Workshop (SW08) - Worcestershire, England, UK, United Kingdom|
Duration: 1 Apr 2008 → 2 Apr 2008
|Conference||Operational Research Society 4th Simulation Workshop (SW08)|
|City||Worcestershire, England, UK|
|Period||01.04.2008 → 02.04.2008|