Simulation-based optimization: Difference between revisions

Revision as of 14:27, 8 June 2023

Revision as of 14:36, 8 June 2023

Line 1:

{{Profile UU|name=Karin Westlund|occupation=PhD student|department=Civil and Industrial Engineering|research area=Applied simulation-based multi-objective optimization for supply chains}}{{short description|Form of optimization}}

'''Simulation-based optimization''' (also known as simply '''simulation optimization''') integrates [[optimization (mathematics)|optimization]] techniques into [[computer simulation|simulation]] modeling and analysis. Because of the complexity of the simulation, the [[objective function]] may become difficult and expensive to evaluate. Usually, the underlying simulation model is stochastic, so that the objective function must be estimated using statistical estimation techniques (called output analysis in simulation methodology).