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dc.contributor.advisorTufte, Gunnarnb_NO
dc.contributor.authorKlakken, Trondnb_NO
dc.date.accessioned2014-12-19T13:38:49Z
dc.date.available2014-12-19T13:38:49Z
dc.date.created2012-11-08nb_NO
dc.date.issued2012nb_NO
dc.identifier565926nb_NO
dc.identifierntnudaim:7311nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/252926
dc.description.abstractA dream about evolvable structures that change to fit its environment could be a peak into the future.Cellular automata (CA) being a simple discrete model, it has the ability to simulate biology by growing, reproducing and dying. Along with genetic algorithms, they both simulates biological systems that can be used to realize this dream.In this thesis, a skyscraper is grown using multiple cellular automata. The skyscraper is grown in a CA simulator and visualizer made for this thesis. The result is a stable structure containing floors, walls, windows and ceilings with lights.Genetic algorithms have been used to grow electrical wiring from a power source in the basement up to power outlets on each floor, powering the lights.The dream is a house that covers all your needs.This thesis is a proof of concept, that it is possible to grow a stable skyscraper using a CA with multiple sub-CAs growing lights and electrical wiring inside.The project is in the area of unconventional computation, done at NTNU Trondheim.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for datateknikk og informasjonsvitenskapnb_NO
dc.subjectntnudaim:7311no_NO
dc.subjectMTDT datateknikkno_NO
dc.subjectKomplekse datasystemerno_NO
dc.titleGrowing Cellular Structures with Substructures Guided by Genetic Algorithms: Using Visualization as Evaluationnb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber95nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskapnb_NO


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