@article{ffdbae8ff05e4ee5a611c6e8a03c6713,
title = "Uncertainty based optimal planning of residential building stocks retrofits",
abstract = "In this work the uncertainties related to the optimal planning/allocation of government subsidies for residential building stocks retrofits are considered and the uncertainty based planning problem is formulated and solved as a multi-objective, constrained problem. Different multi-objective algorithms are considered with the idea to determine the most effective and efficient approach that can be customized as planning tool to be used by the public administration personnel. The preliminary comparison between 2 multi-objective evolutionary algorithms and a deterministic one is presented and optimal/pareto results are analysed.",
keywords = "robust design optimisation, buldings, building design, retrofitting",
author = "Roberto Ricciu and Besalduch, {Antonio Luigi} and Edmondo Minisci and {Manuello Bertetto}, Andrea",
year = "2019",
month = jun,
day = "10",
language = "English",
volume = "20",
journal = "International Journal of Mechanics and Control",
issn = "1590-8844",
publisher = "Levrotto and Bella",
number = "1",
}