Automatic tuning of a fuzzy meta-model for evacuation speed estimation
Michal Gregor, Igor Miklóšik, Juraj Spalek · 2016
The paper concerns an application of genetic-fuzzy systems to automatic tuning of a fuzzy meta-model for evacuation speed estimation. The paper first covers some basic facts concerning evacuation in road tunnels and its simulation. It then proceeds to discuss the basics of genetic-fuzzy systems and proposes an evolutionary approach for automatic tuning of said meta-model. The approach is verified experimentally and the resulting error metrics are presented.