1. Optimizing solar access and density in Tel Aviv: Benchmarking multi-objective optimization algorithms
- Author
-
Jonathan Natanian and Thomas Wortmann
- Subjects
Solar access ,Paper ,History ,Tel aviv ,Computer science ,Benchmarking ,Industrial engineering ,Multi-objective optimization ,Computer Science Applications ,Education ,ddc - Abstract
This paper explores the trade-off between redeveloping an urban site with higher density and maintaining solar access for the surrounding context in the hot and dry climate of Tel Aviv. Such trade-offs are important for future urban development in the Middle East, where densification is a demographic and environmental need. We explore this trade-off with multi-objective optimization (MOO). Specifically, we benchmark seven MOO algorithms on two test problems with different, parametric typologies: courtyard and high-rise. For both problems, we aim to maximize Floor Area Ratio and the simulation-based Context Exposure Index, a novel metric based on the Israeli green building code. The high-rise emerges as the better performing typology, and HypE, SPEA2, and RBFMOpt as the most efficient and robust MOO algorithms.
- Published
- 2020