Method for Automatic Furniture Placement Based on Simulated Annealing and Genetic Algorithm

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F21%3A00357559" target="_blank" >RIV/68407700:21240/21:00357559 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-030-79457-6_41" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-79457-6_41</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-79457-6_41" target="_blank" >10.1007/978-3-030-79457-6_41</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Method for Automatic Furniture Placement Based on Simulated Annealing and Genetic Algorithm

Popis výsledku v původním jazyce

This paper deals with a method for the automatic furniture placement, which combines simulated annealing and genetic algorithm. The system proceeds similarly to a human interior designer when designing a furniture layout. First, functional zones are designed and distributed using simulated annealing, then the genetic algorithm is used to distribute the furniture in a specific functional zone. Unlike previous work that uses genetic algorithms to solve a similar problem, our method uses a combination of functional zone design and the genetic algorithm is used to optimize the placement of furniture in a given zone. The algorithm is designed in a way not to be limited to simple rectangular room floor planes, but rather to be able furnish rooms with more complicated floor plans. Experimental results generated for the differently shaped rooms are presented.

Název v anglickém jazyce

Method for Automatic Furniture Placement Based on Simulated Annealing and Genetic Algorithm

Popis výsledku anglicky

This paper deals with a method for the automatic furniture placement, which combines simulated annealing and genetic algorithm. The system proceeds similarly to a human interior designer when designing a furniture layout. First, functional zones are designed and distributed using simulated annealing, then the genetic algorithm is used to distribute the furniture in a specific functional zone. Unlike previous work that uses genetic algorithms to solve a similar problem, our method uses a combination of functional zone design and the genetic algorithm is used to optimize the placement of furniture in a given zone. The algorithm is designed in a way not to be limited to simple rectangular room floor planes, but rather to be able furnish rooms with more complicated floor plans. Experimental results generated for the differently shaped rooms are presented.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices

ISBN

978-3-030-79456-9

ISSN

1611-3349

e-ISSN

—

Počet stran výsledku

12

Strana od-do

480-491

Název nakladatele

Springer Nature Switzerland AG

Místo vydání

Basel

Místo konání akce

Kuala Lumpur

Datum konání akce

26. 7. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—