Optimizing solar access and density in Tel Aviv: Benchmarking multi-objective optimization algorithms
نویسندگان
چکیده
Abstract This paper explores the trade-off between redeveloping an urban site with higher density and maintaining solar access for surrounding context in hot dry climate of Tel Aviv. Such trade-offs are important future development Middle East, where densification is a demographic environmental need. We explore this multi-objective optimization (MOO). Specifically, we benchmark seven MOO algorithms on two test problems different, parametric typologies: courtyard high-rise. For both problems, aim to maximize Floor Area Ratio simulation-based Context Exposure Index, novel metric based Israeli green building code. The high-rise emerges as better performing typology, HypE, SPEA2, RBFMOpt most efficient robust algorithms.
منابع مشابه
Tel-Aviv University
Hebrew) ................................................................................................................................. i Abstract ................................................................................................................................................ iii 1. Idioms: History, Theory and Research Questions ....................................................
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ژورنال
عنوان ژورنال: Journal of physics
سال: 2021
ISSN: ['0022-3700', '1747-3721', '0368-3508', '1747-3713']
DOI: https://doi.org/10.1088/1742-6596/2042/1/012066