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Titlebook: Intelligent Computing in Engineering and Architecture; 13th EG-ICE Workshop Ian F. C. Smith Conference proceedings 2006 Springer-Verlag Ber

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GENE_ARCH: An Evolution-Based Generative Design System for Sustainable Architecture,odied 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.
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Self-aware and Learning Structure,event of no retrieved case, load identification is performed. This methodology is based on measuring the response of the structure to current load and inferring the cause. It provides information in order to identify control commands through multi-objective search. Results are validated through experimental testing.
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Infrastructure Development in the Knowledge City, integrating business, safety and sustainability dimensions in addition to traditional engineering aspects. The roadmap also emphasizes a process-oriented approach to the development of e-infrastructure.
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