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A multi-objective window optimisation problem

Authors:

Alexander E.I. Brownlee,

Jonathan A. Wright,

Monjur M. MourshedAuthors Info & Claims

GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation

Pages 89 - 90

https://doi.org/10.1145/2001858.2001910

Published: 12 July 2011 Publication History

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Abstract

We present an optimisation problem which seeks to locate the Pareto-optimal front of building window and shading designs minimising two objectives: projected energy use of the operational building and its construction cost. This problem is of particular interest because it has many variable interactions and each function evaluation is relatively time-consuming. It also makes use of a freely-available building simulation program EnergyPlus which may be used in many other building design optimisation problems.

We describe the problem and report the results of experiments comparing the performance of a number of existing multi-objective evolutionary algorithms applied to it. We conclude that this represents a promising real-world application area.

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Zheng YWu JZhang HLin CLi YCui XShen P(2025)A novel sun-shading design for indoor visual comfort and energy saving in typical office space in ShenzhenEnergy and Buildings10.1016/j.enbuild.2024.115083328(115083)Online publication date: Feb-2025
https://doi.org/10.1016/j.enbuild.2024.115083
Noorollahi YBarabadi PTaherahmadi JAbbasizade F(2024)Multi-objective optimization of energy demand and net zero energy building design based on climatic conditions (Case study: Iran)International Journal of Environmental Science and Technology10.1007/s13762-024-06059-9Online publication date: 29-Sep-2024
https://doi.org/10.1007/s13762-024-06059-9
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https://doi.org/10.1007/978-3-031-58086-4_14
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A multi-objective window optimisation problem

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Published In

GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation

July 2011

1548 pages

ISBN:9781450306904

DOI:10.1145/2001858

Editor:
Natalio Krasnogor
University of Nottingham, UK
,
General Chair:
Pier Luca Lanzi
Politecnico di Milano, Italy

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 July 2011

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GECCO '11

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SIGEVO

GECCO '11: Genetic and Evolutionary Computation Conference

July 12 - 16, 2011

Dublin, Ireland

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Zheng YWu JZhang HLin CLi YCui XShen P(2025)A novel sun-shading design for indoor visual comfort and energy saving in typical office space in ShenzhenEnergy and Buildings10.1016/j.enbuild.2024.115083328(115083)Online publication date: Feb-2025
https://doi.org/10.1016/j.enbuild.2024.115083
Noorollahi YBarabadi PTaherahmadi JAbbasizade F(2024)Multi-objective optimization of energy demand and net zero energy building design based on climatic conditions (Case study: Iran)International Journal of Environmental Science and Technology10.1007/s13762-024-06059-9Online publication date: 29-Sep-2024
https://doi.org/10.1007/s13762-024-06059-9
Cui HXu ZLiang YYang H(2024)Optimisation of Design for PCM-Enhanced Buildings Through Parametric Modelling and Multi-objective MethodologyKey Themes in Energy Management10.1007/978-3-031-58086-4_14(297-314)Online publication date: 30-Jul-2024
https://doi.org/10.1007/978-3-031-58086-4_14
Muthumanickam NBrown NDuarte JSimpson T(2023)Multidisciplinary design optimization in Architecture, Engineering, and Construction: a detailed review and call for collaborationStructural and Multidisciplinary Optimization10.1007/s00158-023-03673-y66:11Online publication date: 8-Nov-2023
https://doi.org/10.1007/s00158-023-03673-y
Elbeltagi EWefki HKhallaf R(2022)Sustainable Building Optimization Model for Early-Stage DesignBuildings10.3390/buildings1301007413:1(74)Online publication date: 28-Dec-2022
https://doi.org/10.3390/buildings13010074
Wang YYang WWang Q(2022)Multi-objective parametric optimization of the composite external shading for the classroom based on lighting, energy consumption, and visual comfortEnergy and Buildings10.1016/j.enbuild.2022.112441275(112441)Online publication date: Nov-2022
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Qi CChen QSonny Kim S(2020)Integrated and intelligent design framework for cemented paste backfill: A combination of robust machine learning modelling and multi-objective optimizationMinerals Engineering10.1016/j.mineng.2020.106422155(106422)Online publication date: Aug-2020
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Forde JHopfe CMcLeod REvins R(2020)Temporal optimization for affordable and resilient Passivhaus dwellings in the social housing sectorApplied Energy10.1016/j.apenergy.2019.114383261(114383)Online publication date: Mar-2020
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Gagnon RGosselin LPark SStratbücker SDecker S(2018)Comparison between two genetic algorithms minimizing carbon footprint of energy and materials in a residential buildingJournal of Building Performance Simulation10.1080/19401493.2018.150109512:2(224-242)Online publication date: 2-Aug-2018
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Pernigotto GPrada ACappelletti FGasparella A(2017)Impact of Reference Years on the Outcome of Multi-Objective Optimization for Building Energy RefurbishmentEnergies10.3390/en1011192510:11(1925)Online publication date: 21-Nov-2017
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