Multi-objective Optimization of Digital Terrain Models for Climate Adaptation Planning

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Standard

Multi-objective Optimization of Digital Terrain Models for Climate Adaptation Planning. / Hermansdorfer, Mariusz; Skov-Petersen, Hans; Fricker, Pia.

I: Journal of Digital Landscape Architecture, Bind 7, Nr. 7, 2022, s. 453-462.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Hermansdorfer, M, Skov-Petersen, H & Fricker, P 2022, 'Multi-objective Optimization of Digital Terrain Models for Climate Adaptation Planning', Journal of Digital Landscape Architecture, bind 7, nr. 7, s. 453-462. https://doi.org/10.14627/537724044

APA

Hermansdorfer, M., Skov-Petersen, H., & Fricker, P. (2022). Multi-objective Optimization of Digital Terrain Models for Climate Adaptation Planning. Journal of Digital Landscape Architecture, 7(7), 453-462. https://doi.org/10.14627/537724044

Vancouver

Hermansdorfer M, Skov-Petersen H, Fricker P. Multi-objective Optimization of Digital Terrain Models for Climate Adaptation Planning. Journal of Digital Landscape Architecture. 2022;7(7):453-462. https://doi.org/10.14627/537724044

Author

Hermansdorfer, Mariusz ; Skov-Petersen, Hans ; Fricker, Pia. / Multi-objective Optimization of Digital Terrain Models for Climate Adaptation Planning. I: Journal of Digital Landscape Architecture. 2022 ; Bind 7, Nr. 7. s. 453-462.

Bibtex

@article{f266e35c0f5346088256fc69f74b9503,
title = "Multi-objective Optimization of Digital Terrain Models for Climate Adaptation Planning",
abstract = "As part of a joint effort between academia and practice, we propose a novel approach to digital terrain modelling for climate adaptation planning. In contrast to existing workflows, it allows designers to merely describe desired drainage patterns for a given site and use genetic solvers for their subsequent optimization. Leveraging algorithmic strategies opens the possibility to analyse multiple proposed site layouts and identify the most resilient ones. By validating the method on three typical residential development projects, this paper puts renewed emphasis on the importance of terrain modelling in the context of flood protection – a domain often dominated by technical, hardscape solutions.",
keywords = "Algorithmic design, climate adaptation planning, evolutionary solvers, terrain modelling",
author = "Mariusz Hermansdorfer and Hans Skov-Petersen and Pia Fricker",
note = "Publisher Copyright: {\textcopyright} Wichmann Verlag, VDE VERLAG GMBH · Berlin · Offenbach.",
year = "2022",
doi = "10.14627/537724044",
language = "English",
volume = "7",
pages = "453--462",
journal = "Journal of Digital Landscape Architecture",
issn = "2367-4253",
publisher = "Wichmann Verlag",
number = "7",

}

RIS

TY - JOUR

T1 - Multi-objective Optimization of Digital Terrain Models for Climate Adaptation Planning

AU - Hermansdorfer, Mariusz

AU - Skov-Petersen, Hans

AU - Fricker, Pia

N1 - Publisher Copyright: © Wichmann Verlag, VDE VERLAG GMBH · Berlin · Offenbach.

PY - 2022

Y1 - 2022

N2 - As part of a joint effort between academia and practice, we propose a novel approach to digital terrain modelling for climate adaptation planning. In contrast to existing workflows, it allows designers to merely describe desired drainage patterns for a given site and use genetic solvers for their subsequent optimization. Leveraging algorithmic strategies opens the possibility to analyse multiple proposed site layouts and identify the most resilient ones. By validating the method on three typical residential development projects, this paper puts renewed emphasis on the importance of terrain modelling in the context of flood protection – a domain often dominated by technical, hardscape solutions.

AB - As part of a joint effort between academia and practice, we propose a novel approach to digital terrain modelling for climate adaptation planning. In contrast to existing workflows, it allows designers to merely describe desired drainage patterns for a given site and use genetic solvers for their subsequent optimization. Leveraging algorithmic strategies opens the possibility to analyse multiple proposed site layouts and identify the most resilient ones. By validating the method on three typical residential development projects, this paper puts renewed emphasis on the importance of terrain modelling in the context of flood protection – a domain often dominated by technical, hardscape solutions.

KW - Algorithmic design

KW - climate adaptation planning

KW - evolutionary solvers

KW - terrain modelling

U2 - 10.14627/537724044

DO - 10.14627/537724044

M3 - Journal article

AN - SCOPUS:85132071781

VL - 7

SP - 453

EP - 462

JO - Journal of Digital Landscape Architecture

JF - Journal of Digital Landscape Architecture

SN - 2367-4253

IS - 7

ER -

ID: 342970644