Urban planning is the process of designing the layout of a city as to balance the needs of society. This is essentially done by allocating built assets and public infrastructure in a fair fashion, while balancing budgets, expectations, and private interests. Historically, masterplans have been created by experts, who used prior knowledge, intuition, empirical studies, personal judgement, and preferences to create a suitable city layout.
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