The ERC GeoDiverCity will organize an International Workshop in October about “Theories and models of urbanization“. The ambition of the meeting is to engage discussion about fundamental questions regarding urban theories and modeling. Invited keynote speeches will be followed each by a roundtable of discussion. Related major results from the ERC will also be presented. The intention of the workshop is to summarize the state of knowledge and prepare an agenda for future research.
The provisionnal programme and the procedure of registration can be found on this dedicated page.
New publication, in Environment and Planning B.
Schmitt C, Rey-Coyrehourcq S, Reuillon R, Pumain D, 2015, “Half a billion simulations: evolutionary algorithms and distributed computing for calibrating the SimpopLocal geographical model” Environment and Planning B: Planning and Design, 42(2), 300-315. http://www.envplan.com/abstract.cgi?id=b130064p
Abstract. Multiagent geographical models integrate very large numbers of spatial interactions. In order to validate these models a large amount of computing is necessary for their simulation and calibration. Here a new data-processing chain, including an automated calibration procedure, is tested on a computational grid using evolutionary algorithms. This is applied for the first time to a geographical model designed to simulate the evolution of an early urban settlement system. The method enables us to reduce the computing time and provides robust results. Using this method, we identify several parameter settings that minimize three objective functions that quantify how closely the model results match a reference pattern. As the values of each parameter in different settings are very close, this estimation considerably reduces the initial possible domain of variation of the parameters. Thus the model is a useful tool for further multiple applications in empirical historical situations.
Keywords: simulation model, multiagent system, calibration, evolutionary algorithm, geographical modelling, high-performance computing, model validation