Track: Production Planning and Control
Abstract
The paper deals with testing and evaluation of a modified Self-Organizing Migrating Algorithm –SOMA - applied to different discrete event simulation models. These models are focused on real problems in industrial companies. The SOMA heuristic optimization method is derived from the Differential Evolution method, which is effective for different dimensional search spaces of the simulation models. We specified the range of each algorithm parameter. We test all the possible combinations of settings of the algorithm within the specified ranges. We repeat the simulation optimization experiments to reduce the random behaviour of the algorithm. We propose a methodology using different evaluation criteria to analyze the SOMA behaviour of finding the optimum of an objective function specified for each discrete event simulation model.