The research seminar highlights the challenges and opportunities of computer aided decision making in urban planning. The aim is to mimic the design process by using metaheuristic optimization techniques in a generative design context. A framework that utilizes genetic algorithms has been developed in order to position land use areas and roads in the most economic and effective manner.

Technologically, multi-objective optimization is performed using NSGA-2 (non-dominated genetic algorithm) coupled with GIS tools with the goal of providing a user-friendly interactive decision support tool for optimizing the masterplan of a city as defined by planning experts. So far attempts to include basic functionality have been successful and more complex objectives will be incorporated.


Assoc. prof. Dessislava Petrova-Antonova


Arch. Darina Manolova, Sofiaplan

Stoyan Boyukliyski in collaboration with Evgeniy Marinov, GATE Institute

When: 8 July 2021 at 14:00-15:00 (EEST)

Where: online in MS Teams, link

Language: English