1 resultado para User-Designer Collaboration, Problem Restructuring, Scenario Building
em CaltechTHESIS
Filtro por publicador
- Repository Napier (1)
- Abertay Research Collections - Abertay University’s repository (3)
- Aberystwyth University Repository - Reino Unido (4)
- Academic Research Repository at Institute of Developing Economies (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (2)
- Adam Mickiewicz University Repository (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (15)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (2)
- Andina Digital - Repositorio UASB-Digital - Universidade Andina Simón Bolívar (2)
- Aquatic Commons (3)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (2)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Archive of European Integration (3)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (2)
- Aston University Research Archive (38)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (7)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (4)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (2)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (11)
- Boston University Digital Common (2)
- Brock University, Canada (3)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (5)
- CaltechTHESIS (1)
- Cambridge University Engineering Department Publications Database (10)
- CentAUR: Central Archive University of Reading - UK (43)
- Central European University - Research Support Scheme (1)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (4)
- Cochin University of Science & Technology (CUSAT), India (3)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (4)
- CORA - Cork Open Research Archive - University College Cork - Ireland (8)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (1)
- Deakin Research Online - Australia (92)
- Department of Computer Science E-Repository - King's College London, Strand, London (2)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (11)
- Digital Peer Publishing (5)
- DigitalCommons@University of Nebraska - Lincoln (6)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (1)
- DRUM (Digital Repository at the University of Maryland) (6)
- Duke University (1)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (3)
- FUNDAJ - Fundação Joaquim Nabuco (3)
- Glasgow Theses Service (1)
- Greenwich Academic Literature Archive - UK (7)
- Harvard University (1)
- Helda - Digital Repository of University of Helsinki (10)
- Indian Institute of Science - Bangalore - Índia (15)
- Instituto Politécnico de Viseu (1)
- Instituto Politécnico do Porto, Portugal (6)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Massachusetts Institute of Technology (6)
- National Center for Biotechnology Information - NCBI (2)
- Nottingham eTheses (6)
- Open University Netherlands (3)
- Portal de Revistas Científicas Complutenses - Espanha (4)
- QSpace: Queen's University - Canada (5)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (28)
- Queensland University of Technology - ePrints Archive (282)
- RDBU - Repositório Digital da Biblioteca da Unisinos (2)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (2)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (2)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (7)
- Repositório Institucional da Universidade de Brasília (2)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (25)
- Repositorio Institucional Universidad Católica de Colombia (1)
- Royal College of Art Research Repository - Uninet Kingdom (3)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (1)
- SAPIENTIA - Universidade do Algarve - Portugal (2)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (2)
- Universidad de Alicante (5)
- Universidad del Rosario, Colombia (4)
- Universidad Politécnica de Madrid (72)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Federal do Pará (5)
- Universidade Federal do Rio Grande do Norte (UFRN) (12)
- Universidade Metodista de São Paulo (3)
- Universitat de Girona, Spain (3)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (4)
- Université de Montréal (2)
- Université de Montréal, Canada (13)
- University of Michigan (5)
- University of Queensland eSpace - Australia (4)
- University of Southampton, United Kingdom (4)
- University of Washington (2)
- WestminsterResearch - UK (3)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
A general framework for multi-criteria optimal design is presented which is well-suited for automated design of structural systems. A systematic computer-aided optimal design decision process is developed which allows the designer to rapidly evaluate and improve a proposed design by taking into account the major factors of interest related to different aspects such as design, construction, and operation.
The proposed optimal design process requires the selection of the most promising choice of design parameters taken from a large design space, based on an evaluation using specified criteria. The design parameters specify a particular design, and so they relate to member sizes, structural configuration, etc. The evaluation of the design uses performance parameters which may include structural response parameters, risks due to uncertain loads and modeling errors, construction and operating costs, etc. Preference functions are used to implement the design criteria in a "soft" form. These preference functions give a measure of the degree of satisfaction of each design criterion. The overall evaluation measure for a design is built up from the individual measures for each criterion through a preference combination rule. The goal of the optimal design process is to obtain a design that has the highest overall evaluation measure - an optimization problem.
Genetic algorithms are stochastic optimization methods that are based on evolutionary theory. They provide the exploration power necessary to explore high-dimensional search spaces to seek these optimal solutions. Two special genetic algorithms, hGA and vGA, are presented here for continuous and discrete optimization problems, respectively.
The methodology is demonstrated with several examples involving the design of truss and frame systems. These examples are solved by using the proposed hGA and vGA.