РАФ - Репозиторијум Архитектонског факултета
Универзитет у Београду, Архитектонски факултет
    • English
    • Српски
    • Српски (Serbia)
  • Српски (ћирилица) 
    • Енглески
    • Српски (ћирилица)
    • Српски (латиница)
  • Пријава
Преглед записа 
  •   РАФ
  • Arhitektonski fakultet
  • Publikacije istraživača / Researchers' publications
  • Преглед записа
  •   РАФ
  • Arhitektonski fakultet
  • Publikacije istraživača / Researchers' publications
  • Преглед записа
JavaScript is disabled for your browser. Some features of this site may not work without it.

Genetic algorithms - problem solving in architecture and urbanism

Thumbnail
2011
genetic.pdf (1.199Mb)
Аутори
Kijanovic, Jelena
Petrusevski, Ljiljana
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документу
Апстракт
To evolutionary-computation researches, the mechanisms of evolution come to be solutions for the most pressing computational problems in many fields. A Genetic algorithm (GA) is a form of evolution that occurs on a computer. These algorithms are appealing sources of inspiration, searching methods that can be used for both - solving problems and modelling evolutionary systems. After describing the basic elements, functionalities and the most important theoretical foundations of GA, this paper will present how GA can be designed to solve different types of problems, including optimization of function, evolving strategies and cellular automata. The accent is interaction between GA and parametric modelling using Grasshopper (the plug-in for the Rhino platform) in the field of architecture and urbanism. This approach finds optimal solution, combination of parameters, which complies given conditions controlled by urbanism's requests. In addition, the influences of the GA control parameters o...n its solving process are studied. This system has been developed and tasted within the Chair for Mathematics, Architectural Geometry and CAAD, at the University of Belgrade, Faculty of Architecture. This study has partly been completed within the following projects, funded by the Ministry of Education and Science of Serbia: OI174012 and III47014.

Кључне речи:
Genetic algorithm / Evolution / Population / Fitness / Evolving / Modelling / Solution / Architecture / Urbanism
Извор:
Seventh International PhD & DLA Symposium 24th-25th October, 2011, Pecs, Hungary, 01-2011, C71-C71
Издавач:
  • University of Pecs, Pollack Mihaly Faculty of Engineering
Финансирање / пројекти:
  • Геометрија, образовање и визуелизација са применама (RS-174012)
  • Улога и имплементација државног просторног плана и регионалних развојних докумената у обнови стратешког истраживања, мишљења и управљања у Србији (RS-47014)

ISBN: 978-963-7298-46-2

[ Google Scholar ]
Handle
https://hdl.handle.net/21.15107/rcub_raf_1175
URI
https://raf.arh.bg.ac.rs/handle/123456789/1175
Колекције
  • Publikacije istraživača / Researchers' publications
Институција/група
Arhitektonski fakultet
TY  - CONF
AU  - Kijanovic, Jelena
AU  - Petrusevski, Ljiljana
PY  - 2011-01
UR  - https://raf.arh.bg.ac.rs/handle/123456789/1175
AB  - To evolutionary-computation researches, the mechanisms of evolution come to be solutions for the most pressing computational problems in many fields. A Genetic algorithm (GA) is a form of evolution that occurs on a computer. These algorithms are appealing sources of inspiration, searching methods that can be used for both - solving problems and modelling evolutionary systems. After describing the basic elements, functionalities and the most important theoretical foundations of GA, this paper will present how GA can be designed to solve different types of problems, including optimization of function, evolving strategies and cellular automata. The accent is interaction between GA and parametric modelling using Grasshopper (the plug-in for the Rhino platform) in the field of architecture and urbanism. This approach finds optimal solution, combination of parameters, which complies given conditions controlled by urbanism's requests. In addition, the influences of the GA control parameters on its solving process are studied. This system has been developed and tasted within the Chair for Mathematics, Architectural Geometry and CAAD, at the University of Belgrade, Faculty of Architecture. This study has partly been completed within the following projects, funded by the Ministry of Education and Science of Serbia: OI174012 and III47014.
PB  - University of Pecs, Pollack Mihaly Faculty of Engineering
C3  - Seventh International PhD & DLA Symposium 24th-25th October, 2011, Pecs, Hungary
T1  - Genetic algorithms - problem solving in architecture and urbanism
SP  - C71
EP  - C71
UR  - https://hdl.handle.net/21.15107/rcub_raf_1175
ER  - 
@conference{
author = "Kijanovic, Jelena and Petrusevski, Ljiljana",
year = "2011-01",
abstract = "To evolutionary-computation researches, the mechanisms of evolution come to be solutions for the most pressing computational problems in many fields. A Genetic algorithm (GA) is a form of evolution that occurs on a computer. These algorithms are appealing sources of inspiration, searching methods that can be used for both - solving problems and modelling evolutionary systems. After describing the basic elements, functionalities and the most important theoretical foundations of GA, this paper will present how GA can be designed to solve different types of problems, including optimization of function, evolving strategies and cellular automata. The accent is interaction between GA and parametric modelling using Grasshopper (the plug-in for the Rhino platform) in the field of architecture and urbanism. This approach finds optimal solution, combination of parameters, which complies given conditions controlled by urbanism's requests. In addition, the influences of the GA control parameters on its solving process are studied. This system has been developed and tasted within the Chair for Mathematics, Architectural Geometry and CAAD, at the University of Belgrade, Faculty of Architecture. This study has partly been completed within the following projects, funded by the Ministry of Education and Science of Serbia: OI174012 and III47014.",
publisher = "University of Pecs, Pollack Mihaly Faculty of Engineering",
journal = "Seventh International PhD & DLA Symposium 24th-25th October, 2011, Pecs, Hungary",
title = "Genetic algorithms - problem solving in architecture and urbanism",
pages = "C71-C71",
url = "https://hdl.handle.net/21.15107/rcub_raf_1175"
}
Kijanovic, J.,& Petrusevski, L.. (2011-01). Genetic algorithms - problem solving in architecture and urbanism. in Seventh International PhD & DLA Symposium 24th-25th October, 2011, Pecs, Hungary
University of Pecs, Pollack Mihaly Faculty of Engineering., C71-C71.
https://hdl.handle.net/21.15107/rcub_raf_1175
Kijanovic J, Petrusevski L. Genetic algorithms - problem solving in architecture and urbanism. in Seventh International PhD & DLA Symposium 24th-25th October, 2011, Pecs, Hungary. 2011;:C71-C71.
https://hdl.handle.net/21.15107/rcub_raf_1175 .
Kijanovic, Jelena, Petrusevski, Ljiljana, "Genetic algorithms - problem solving in architecture and urbanism" in Seventh International PhD & DLA Symposium 24th-25th October, 2011, Pecs, Hungary (2011-01):C71-C71,
https://hdl.handle.net/21.15107/rcub_raf_1175 .

DSpace software copyright © 2002-2015  DuraSpace
О РАФ-у | Пошаљите запажања

OpenAIRERCUB
 

 

Комплетан репозиторијумГрупеАуториНасловиТемеОва институцијаАуториНасловиТеме

Статистика

Преглед статистика

DSpace software copyright © 2002-2015  DuraSpace
О РАФ-у | Пошаљите запажања

OpenAIRERCUB