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Peña Sánchez, José María ORCID: https://orcid.org/0000-0001-9123-1020, Viedma Ortiz-Cañavate, Javier, Muelas Pascual, Santiago, LaTorre de la Fuente, Antonio
ORCID: https://orcid.org/0000-0002-8718-5735 and Peña Sánchez, Luis
(2014).
Designer-driven 3D buildings generated using variable neighborhood search.
In: "2014 IEEE Conference on Computational Intelligence and Games", 26-29 Aug 2014, Dortmund, Alemania. ISBN 978-1-47993-548-2. pp. 333-340.
Title: | Designer-driven 3D buildings generated using variable neighborhood search |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | 2014 IEEE Conference on Computational Intelligence and Games |
Event Dates: | 26-29 Aug 2014 |
Event Location: | Dortmund, Alemania |
Title of Book: | 2014 IEEE Conference on Computational Intelligence and Games (CIG) |
Date: | 2014 |
ISBN: | 978-1-47993-548-2 |
Volume: | 1 |
Subjects: | |
Faculty: | E.T.S. de Ingenieros Informáticos (UPM) |
Department: | Lenguajes y Sistemas Informáticos e Ingeniería del Software |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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This paper presents a mechanism to generate virtual buildings considering designer constraints and guidelines. This mechanism is implemented as a pipeline of different Variable Neighborhood Search (VNS) optimization processes in which several subproblems are tackled (1) rooms locations, (2) connectivity graph, and (3) element placement. The core VNS algorithm includes some variants to improve its performance, such as, for example constraint handling and biased operator selection. The optimization process uses a toolkit of construction primitives implemented as "smart objects" providing basic elements such as rooms, doors, staircases and other connectors. The paper also shows experimental results of the application of different designer constraints to a wide range of buildings from small houses to a large castle with several underground levels.
Item ID: | 36794 |
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DC Identifier: | https://oa.upm.es/36794/ |
OAI Identifier: | oai:oa.upm.es:36794 |
Official URL: | https://www.ieee.org/conferences_events/conference... |
Deposited by: | Memoria Investigacion |
Deposited on: | 21 Sep 2015 08:57 |
Last Modified: | 15 Nov 2017 16:18 |