Treffer: GENE-ARCH : An evolution-based generative design system for sustainable architecture

Title:
GENE-ARCH : An evolution-based generative design system for sustainable architecture
Authors:
CALDAS, Luisa
Source:
Intelligent computing in engineering and architecture (13th EG-ICE Workshop 2006, Ascona, Switzerland, June 25-30, 2006)0EG-ICE 2006. :109-118
Publisher Information:
Berlin; New York: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 13 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Organisation des mémoires. Traitement des données, Memory organisation. Data processing, Systèmes d'information. Bases de données, Information systems. Data bases, Intelligence artificielle, Artificial intelligence, Batiment. Travaux publics, Buildings. Public works, Algorithme génétique, Genetic algorithm, Algoritmo genético, Algorithme recherche, Search algorithm, Algoritmo búsqueda, Analyse multicritère, Multicriteria analysis, Análisis multicriterio, Choix matériau, Material selection, Selección material, Développement durable, Sustainable development, Desarrollo sostenible, Economies d'énergie, Energy savings, Ahorros energía, Fonction objectif, Objective function, Función objetivo, Génie civil, Civil engineering, Ingeniería civil, Génération fonction, Function generation, Generación función, Intelligence artificielle, Artificial intelligence, Inteligencia artificial, Intention, Intencíon, Maintenance logiciel, Software maintenance, Moteur recherche, Search engine, Buscador, Optimum Pareto, Pareto optimum, Optimo Pareto, Programmation multiobjectif, Multiobjective programming, Programación multiobjetivo, Simulation ordinateur, Computer simulation, Simulación computadora, Système information, Information system, Sistema información, Vérification programme, Program verification, Verificación programa
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Instituto Superior Técnico, Technical University of Lisbon, Portugal
ISSN:
0302-9743
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=19152988
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Building. Public works. Transport. Civil engineering

Computer science; theoretical automation; systems
Accession Number:
edscal.19152988
Database:
PASCAL Archive

Weitere Informationen

GENE_ARCH is an evolution-based Generative Design System that uses adaptation to shape energy-efficient and sustainable architectural solutions. The system applies goal-oriented design, combining a Genetic Algorithm (GA) as the search engine, with DOE2. 1E building simulation software as the evaluation module. The GA can work either as a standard GA or as a Pareto GA, for multicriteria optimization. In order to provide a full view of the capacities of the software, different applications are discussed: 1) Standard GA: testing of the software; 2) Standard GA: incorporation of architecture design intentions, using a building by architect Alvaro Siza; 3) Pareto GA: choice of construction materials, considering cost, building energy use, and embodied energy; 4) Pareto GA: application to Siza's building; 5) Standard GA: Shape generation with single objective function; 6) Pareto GA: shape generation with multicriteria; 7) Pareto GA: application to an urban and housing context. Overall conclusions from the different applications are discussed.