A novel encoding for separable large-scale multi-objective problems and its application to the optimisation of housing stock improvements

Alexander E.I. Brownlee; Jonathan A. Wright; Miaomiao He; Timothy Lee; Paul McMenemy

doi:10.1016/j.asoc.2020.106650

A novel encoding for separable large-scale multi-objective problems and its application to the optimisation of housing stock improvements

Alexander E.I. Brownlee^*
, Jonathan A. Wright
, Miaomiao He
, Timothy Lee
, Paul McMenemy

^*Corresponding author for this work

University of Stirling
Loughborough University

Research output: Contribution to journal › Article › peer-review

17 Citations (SciVal)

Original language	English
Article number	106650
Journal	Applied Soft Computing
Volume	96
DOIs	https://doi.org/10.1016/j.asoc.2020.106650
Publication status	Published (VoR) - Nov 2020

Funding

Our sincere thanks to Dr Simona Hapca for assistance with the statistical analysis and the anonymous reviewers for their helpful feedback. This work was funded under UK EPSRC grant EP/I002154/1 (Self Conserving Urban Environments — SECURE). SECURE was a consortium of four UK universities: Newcastle, Sheffield, Exeter and Loughborough. Website: http://www.secure-project.org . Our sincere thanks to Dr Simona Hapca for assistance with the statistical analysis and the anonymous reviewers for their helpful feedback. This work was funded under UK EPSRC grant EP/I002154/1 (Self Conserving Urban Environments ? SECURE). SECURE was a consortium of four UK universities: Newcastle, Sheffield, Exeter and Loughborough. Website: http://www.secure-project.org.

Keywords

Additively separable
Building engineering
Combinatorially separable
Energy
Evolutionary algorithms
Large-scale
Multi-objective
Optimisation

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10.1016/j.asoc.2020.106650

Cite this

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title = "A novel encoding for separable large-scale multi-objective problems and its application to the optimisation of housing stock improvements",

keywords = "Additively separable, Building engineering, Combinatorially separable, Energy, Evolutionary algorithms, Large-scale, Multi-objective, Optimisation",

author = "Brownlee, \{Alexander E.I.\} and Wright, \{Jonathan A.\} and Miaomiao He and Timothy Lee and Paul McMenemy",

note = "Funding Information: Our sincere thanks to Dr Simona Hapca for assistance with the statistical analysis and the anonymous reviewers for their helpful feedback. This work was funded under UK EPSRC grant EP/I002154/1 (Self Conserving Urban Environments — SECURE). SECURE was a consortium of four UK universities: Newcastle, Sheffield, Exeter and Loughborough. Website: http://www.secure-project.org . Funding Information: Our sincere thanks to Dr Simona Hapca for assistance with the statistical analysis and the anonymous reviewers for their helpful feedback. This work was funded under UK EPSRC grant EP/I002154/1 (Self Conserving Urban Environments ? SECURE). SECURE was a consortium of four UK universities: Newcastle, Sheffield, Exeter and Loughborough. Website: http://www.secure-project.org. Publisher Copyright: {\textcopyright} 2020",

year = "2020",

month = nov,

doi = "10.1016/j.asoc.2020.106650",

language = "English",

volume = "96",

journal = "Applied Soft Computing",

issn = "1568-4946",

publisher = "Elsevier",

}

TY - JOUR

T1 - A novel encoding for separable large-scale multi-objective problems and its application to the optimisation of housing stock improvements

AU - Brownlee, Alexander E.I.

AU - Wright, Jonathan A.

AU - He, Miaomiao

AU - Lee, Timothy

AU - McMenemy, Paul

N1 - Funding Information: Our sincere thanks to Dr Simona Hapca for assistance with the statistical analysis and the anonymous reviewers for their helpful feedback. This work was funded under UK EPSRC grant EP/I002154/1 (Self Conserving Urban Environments — SECURE). SECURE was a consortium of four UK universities: Newcastle, Sheffield, Exeter and Loughborough. Website: http://www.secure-project.org . Funding Information: Our sincere thanks to Dr Simona Hapca for assistance with the statistical analysis and the anonymous reviewers for their helpful feedback. This work was funded under UK EPSRC grant EP/I002154/1 (Self Conserving Urban Environments ? SECURE). SECURE was a consortium of four UK universities: Newcastle, Sheffield, Exeter and Loughborough. Website: http://www.secure-project.org. Publisher Copyright: © 2020

PY - 2020/11

Y1 - 2020/11

KW - Additively separable

KW - Building engineering

KW - Combinatorially separable

KW - Energy

KW - Evolutionary algorithms

KW - Large-scale

KW - Multi-objective

KW - Optimisation

UR - https://www.scopus.com/pages/publications/85089832468

UR - https://www.scopus.com/pages/publications/85089832468#tab=citedBy

U2 - 10.1016/j.asoc.2020.106650

DO - 10.1016/j.asoc.2020.106650

M3 - Article

AN - SCOPUS:85089832468

SN - 1568-4946

VL - 96

JO - Applied Soft Computing

JF - Applied Soft Computing

M1 - 106650

ER -

A novel encoding for separable large-scale multi-objective problems and its application to the optimisation of housing stock improvements

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Keywords

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