A systematic review of genetic algorithm-based multi-objective optimisation for building retrofitting strategies towards energy efficiency-Reference-Cited by-同舟云学术

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A systematic review of genetic algorithm-based multi-objective optimisation for building retrofitting strategies towards energy efficiency

Published:2020-03 Issue: Volume:210 Page:109690
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Costa-Carrapiço Inês,Raslan Rokia,González Javier Neila

Funder

Foundation for Science and Technology

FCT

FSE

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference182 articles.

1. Building energy optimization tools and their applicability in architectural conceptual design stage;Tian;Energy Procedia,2015

2. MOBO a new software for multi-objective building performance optimization;Palonen,2013

3. A review on simulation-based optimization methods applied to building performance analysis;Nguyen;Appl. Energy,2014

4. Assessing gaps and needs for integrating building performance optimization tools in net zero energy buildings design;Attia;Energy Build.,2013

5. A review of computational optimisation methods applied to sustainable building design;Evins;Renew. Sustain. Energy Rev.,2013

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