Genetic algorithms - problem solving in architecture and urbanism
Apstrakt
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.
Ključne reči:
Genetic algorithm / Evolution / Population / Fitness / Evolving / Modelling / Solution / Architecture / UrbanismIzvor:
Seventh International PhD & DLA Symposium 24th-25th October, 2011, Pecs, Hungary, 01-2011, C71-C71Izdavač:
- University of Pecs, Pollack Mihaly Faculty of Engineering
Finansiranje / projekti:
- Geometrija, obrazovanje i vizuelizacija sa primenama (RS-174012)
- Uloga i implementacija državnog prostornog plana i regionalnih razvojnih dokumenata u obnovi strateškog istraživanja, mišljenja i upravljanja u Srbiji (RS-47014)
Institucija/grupa
Arhitektonski fakultetTY - 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 .