Evolutionary methods in house floor plan design

2021
journal article
article
13
dc.abstract.enIn this paper, an evolutionary technique is proposed as a method for generating new design solutions for the floor layout problem. The genotypes are represented by the vectors of numerical values of points representing endpoints of room walls. Equivalents of genetic operators for such a representation are proposed. A case study of the design problem of one-story houses is presented from the initial requirements to the best solutions. An evaluation method using requirement-weighted fitness function for evolved plans is also proposed. The obtained results as well as the advantages and issues related to such an approach are also discussedpl
dc.affiliationWydział Fizyki, Astronomii i Informatyki Stosowanej : Instytut Informatyki Stosowanejpl
dc.contributor.authorGrzesiak-Kopeć, Katarzyna - 102580 pl
dc.contributor.authorStrug, Barbara - 100344 pl
dc.contributor.authorŚlusarczyk, Grażyna - 132324 pl
dc.date.accessioned2021-09-27T14:27:13Z
dc.date.available2021-09-27T14:27:13Z
dc.date.issued2021pl
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.number17pl
dc.description.versionostateczna wersja wydawcy
dc.description.volume11pl
dc.identifier.articleid8229pl
dc.identifier.doi10.3390/app11178229pl
dc.identifier.eissn2076-3417pl
dc.identifier.projectROD UJ / OPpl
dc.identifier.urihttps://ruj.uj.edu.pl/xmlui/handle/item/279149
dc.languageengpl
dc.language.containerengpl
dc.rightsUdzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa*
dc.rights.licenceCC-BY
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/legalcode.pl*
dc.share.typeotwarte czasopismo
dc.source.integratorfalse
dc.subject.enevolutionary designpl
dc.subject.enfloor plan layoutpl
dc.subject.envector-based genotype representationpl
dc.subject.enrequirement-weighted fitness functionpl
dc.subtypeArticlepl
dc.titleEvolutionary methods in house floor plan designpl
dc.title.journalApplied Sciencespl
dc.typeJournalArticlepl
dspace.entity.typePublication
dc.abstract.enpl
In this paper, an evolutionary technique is proposed as a method for generating new design solutions for the floor layout problem. The genotypes are represented by the vectors of numerical values of points representing endpoints of room walls. Equivalents of genetic operators for such a representation are proposed. A case study of the design problem of one-story houses is presented from the initial requirements to the best solutions. An evaluation method using requirement-weighted fitness function for evolved plans is also proposed. The obtained results as well as the advantages and issues related to such an approach are also discussed
dc.affiliationpl
Wydział Fizyki, Astronomii i Informatyki Stosowanej : Instytut Informatyki Stosowanej
dc.contributor.authorpl
Grzesiak-Kopeć, Katarzyna - 102580
dc.contributor.authorpl
Strug, Barbara - 100344
dc.contributor.authorpl
Ślusarczyk, Grażyna - 132324
dc.date.accessioned
2021-09-27T14:27:13Z
dc.date.available
2021-09-27T14:27:13Z
dc.date.issuedpl
2021
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.numberpl
17
dc.description.version
ostateczna wersja wydawcy
dc.description.volumepl
11
dc.identifier.articleidpl
8229
dc.identifier.doipl
10.3390/app11178229
dc.identifier.eissnpl
2076-3417
dc.identifier.projectpl
ROD UJ / OP
dc.identifier.uri
https://ruj.uj.edu.pl/xmlui/handle/item/279149
dc.languagepl
eng
dc.language.containerpl
eng
dc.rights*
Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa
dc.rights.licence
CC-BY
dc.rights.uri*
http://creativecommons.org/licenses/by/4.0/legalcode.pl
dc.share.type
otwarte czasopismo
dc.source.integrator
false
dc.subject.enpl
evolutionary design
dc.subject.enpl
floor plan layout
dc.subject.enpl
vector-based genotype representation
dc.subject.enpl
requirement-weighted fitness function
dc.subtypepl
Article
dc.titlepl
Evolutionary methods in house floor plan design
dc.title.journalpl
Applied Sciences
dc.typepl
JournalArticle
dspace.entity.type
Publication
Affiliations

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