Parameter Tuning Algorithms in Modeling And Simulation

Authors : Rabia Korkmaz Tan, Şebnem Bora

Pages : 58-66

View : 14 | Download : 9

Publication Date : 2017-06-30

Article Type : Review

Abstract :In this study, parameter optimization studies in modeling and simulations performed in different areas are examined. The common feature of all works are the modeling of systems which are difficult to observe their results in real environment and the problem of setting up large parameter space. The goal is to reflect the real system of the generated model, and it is necessary to select the most suitable parameters in the large parameter space. This is an important issue and is beyond the limits of human problem solving. From the work done, different classifications were developed to categorize the methods of parameter adjustment and to evaluate the existing work. This helps model developers to find the algorithm that produce the optimal solution for the parameter tunning problem that will arise in future modeling studies.
Keywords : Parameter, Parameter Tuning