Experimental and Numerical Shortest Route Optimization in Generating a Design Template for a Recreation Area in Kadifekale

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dc.contributor.authorKokturk, Gulden
dc.contributor.authorTokuc, Ayca
dc.contributor.authorAltun, T. Didem
dc.contributor.authorKale, İrem
dc.contributor.authorOzkaban, F. Feyzal
dc.contributor.authorCakir, Ozge Andic
dc.date.accessioned2021-03-20T20:12:21Z
dc.date.available2021-03-20T20:12:21Z
dc.date.issued2020
dc.departmentBTÜ, Mimarlık ve Tasarım Fakültesi, Mimarlık Bölümüen_US
dc.description7th Global Conference on Global Warming (GCGW) -- JUN 24-28, 2018 -- Izmir, TURKEYen_US
dc.descriptionTokuc, Ayca/0000-0002-4988-3233en_US
dc.description.abstractAs cities grow, their complexity and the complexity of their infrastructure for various applications increase. Especially, transportation design is usually a very cumbersome process in current urban development models, and it is becoming more complex. Traditional approaches are not always sufficient to solve such complex problems, therefore, design disciplines like architecture and urban design need new tools to optimize many parameters related to their design. An alternate way to solve this problem can be via finding shortest routes. In this context, this study aims to evaluate different shortest path algorithms within a methodological approach to urban transportation planning via either experimentation or mathematical modeling. Three methods; namely live slime mold plasmodium, Floyd-Warshall algorithm, and ant colony algorithm are used to design a template for routes within the historical Kadifekale district of Izmir, Turkey. The results from these approaches are compared, contrasted, and discussed in terms of their suitability for use as a guide for route creation. In conclusion, the parameters of an algorithm are significant on suggesting routes, thus the strengths and weaknesses of an algorithm should be carefully considered before application in a design problem.en_US
dc.identifier.doi10.1007/978-3-030-20637-6_38en_US
dc.identifier.endpage798en_US
dc.identifier.isbn978-3-030-20637-6; 978-3-030-20636-9
dc.identifier.issn1865-3529
dc.identifier.issn1865-3537
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage779en_US
dc.identifier.urihttp://doi.org/10.1007/978-3-030-20637-6_38
dc.identifier.urihttps://hdl.handle.net/20.500.12885/504
dc.identifier.wosWOS:000587895700038en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorKale, İrem
dc.language.isoenen_US
dc.publisherSpringer International Publishing Agen_US
dc.relation.ispartofEnvironmentally-Benign Energy Solutionsen_US
dc.relation.ispartofseriesGreen Energy and Technology
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAnt colony optimization (ACO) algorithmen_US
dc.subjectFloyd-Warshall (FW) algorithmen_US
dc.subjectDesign templateen_US
dc.subjectPhysarum polycephalum (P. polycephalum)en_US
dc.subjectRoute planningen_US
dc.subjectSlime moldsen_US
dc.titleExperimental and Numerical Shortest Route Optimization in Generating a Design Template for a Recreation Area in Kadifekaleen_US
dc.typeConference Objecten_US

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