Optimizing solar access and density in Tel Aviv: Benchmarking multi-objective optimization algorithms

Thomas Wortmann, Jonathan Natanian

Research output: Contribution to journalConference articlepeer-review


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 multiobjective 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.

Original languageEnglish
Article number012066
JournalJournal of Physics: Conference Series
Issue number1
StatePublished - 18 Nov 2021
Event2021 International Hybrid Conference on Carbon Neutral Cities - Energy Efficiency and Renewables in the Digital Era, CISBAT 2021 - Lausanne, Virtual, Switzerland
Duration: 8 Sep 202110 Sep 2021

All Science Journal Classification (ASJC) codes

  • General Physics and Astronomy


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