A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
GENE_ARCH: An Evolution-Based Generative Design System for Sustainable Architecture
Abstract 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.
GENE_ARCH: An Evolution-Based Generative Design System for Sustainable Architecture
Abstract 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.
GENE_ARCH: An Evolution-Based Generative Design System for Sustainable Architecture
Caldas, Luisa (author)
2006-01-01
10 pages
Article/Chapter (Book)
Electronic Resource
English
Genetic Algorithm , Pareto Front , Multiobjective Optimization , Pareto Frontier , Standard Genetic Algorithm Computer Science , Artificial Intelligence (incl. Robotics) , Computer-Aided Engineering (CAD, CAE) and Design , Computation by Abstract Devices , Information Storage and Retrieval , Civil Engineering , Complexity
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