Calibration of Microsimulation with Heuristic Optimization Methods

Calibration of Micro Simulation with Heuristic Optimization Methods

Model calibration is a crucial step in building a reliable microscopic traffic simulation application, because it serves as the additional check to ensure the model parameters accurately reflect the local driving environment, such that decisions made based on these results would not be misinformed decisions. Because of its stochastic nature and complexity, the calibration problem, usually formu...

Bayesian Calibration of Microsimulation Models.

Microsimulation models that describe disease processes synthesize information from multiple sources and can be used to estimate the effects of screening and treatment on cancer incidence and mortality at a population level. These models are characterized by simulation of individual event histories for an idealized population of interest. Microsimulation models are complex and invariably include...

Heuristic Optimization Methods in Econometrics

Calibration of Microsimulation Models forMultimodal Freight Networks

® The contents of this report reflect the views of the authors, who are responsible for the facts and the accuracy of the information presented herein. This document is disseminated under the sponsorship of the Department of Transportation University Transportation Centers Program, in the interest of information exchange. 16. Abstract This research presents a framework for incorporating the uni...

Ship Design Using Heuristic Optimization Methods

Preliminary ship design is currently more art than science, heavily dependent on highly experienced naval architects. The use of genetic algorithms is proposed as a method for improving ship design through more effective exploration of the design space. Three main points are advanced in this paper. First, genetic algorithms (GA) are a highly effective tool for the exploration of large-scale, no...