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dc.creatorKijanovic, Jelena
dc.creatorPetrusevski, Ljiljana
dc.date.accessioned2021-05-05T08:47:36Z
dc.date.available2021-05-05T08:47:36Z
dc.date.issued2011-01
dc.identifier.isbn978-963-7298-46-2
dc.identifier.urihttps://raf.arh.bg.ac.rs/handle/123456789/1175
dc.description.abstractTo 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.sr
dc.language.isoensr
dc.publisherUniversity of Pecs, Pollack Mihaly Faculty of Engineeringsr
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/174012/RS//sr
dc.relationinfo:eu-repo/grantAgreement/MESTD/Integrated and Interdisciplinary Research (IIR or III)/47014/RS//sr
dc.rightsopenAccesssr
dc.sourceSeventh International PhD & DLA Symposium 24th-25th October, 2011, Pecs, Hungarysr
dc.subjectGenetic algorithmsr
dc.subjectEvolutionsr
dc.subjectPopulationsr
dc.subjectFitnesssr
dc.subjectEvolvingsr
dc.subjectModellingsr
dc.subjectSolutionsr
dc.subjectArchitecturesr
dc.subjectUrbanismsr
dc.titleGenetic algorithms - problem solving in architecture and urbanismsr
dc.typeconferenceObjectsr
dc.rights.licenseARRsr
dcterms.abstractПетрушевски, Љиљана; Ивановић, Јелена; Генетиц алгоритхмс - проблем солвинг ин арцхитецтуре анд урбанисм; Генетиц алгоритхмс - проблем солвинг ин арцхитецтуре анд урбанисм;
dc.citation.spageC71
dc.citation.epageC71
dc.identifier.fulltexthttps://raf.arh.bg.ac.rs/bitstream/id/4051/genetic.pdf
dc.type.versionpublishedVersionsr


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