Year: 2020
Type: conference-paper
Abstract: The paper presents a methodology for evaluating optimization experiments performed on simulation models (discrete event simulation models and Bin Packing Problem) which focus on various problems in industrial engineering.We created an evaluation application to validate our methodology.The application evaluates the simulation experiments generated by a simulation optimizer.The first goal is to evaluate the behaviour of the tested optimization methods -evaluate a series of optimization experiments (replicated simulation optimization experiments) with different settings of the optimization algorithms according to different characteristics of the optimization (e.g.efficiency of finding a global optimum, quality of a found solution, speed of finding an optimum, etc.).The next goal is to evaluate the difficulty of the simulation optimization -to determine relative frequencies of the number of simulation experiments until the optimum of the objective function is found for different intervals.The objective function represents the quality of a possible solution in the n-dimensional search space for the tested simulation model.
Institution: University of West Bohemia in Pilsen
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W3088067082