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A design optimization tool based on a genetic algorithm
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DOI：10.1016/S0926-5805(00)00096-0.png)
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Abstract
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Much interest has been recently devoted to generative processes in design. Advances in computational tools for design applications, coupled with techniques from the field of artificial intelligence, have lead to new possibilities in the way computers can inform and actively interact with the design process. In this paper, we use the concepts of generative and goal-oriented design to propose a computer tool that can help the designer to generate and evaluate certain aspects of a solution towards an optimized behavior of the final configuration. This work focuses mostly on those aspects related to the environmental performance of buildings. Genetic Algorithms (GAs) are applied as a generative and search procedure to look for optimized design solutions in terms of thermal and lighting performance in a building. The GA is first used to generate possible design solutions, which are then evaluated in terms of lighting and thermal behavior using a detailed thermal analysis program (DOE2.1E). The results from the simulations are subsequently used to further guide the GA search towards finding low-energy solutions to the problem under study. Solutions can be visualized using an AutoLisp routine. The specific problem addressed in this study is the placing and sizing of windows in an office building. The same method is applicable to a wide range of design problems like the choice of construction materials, design of shading elements, or sizing of lighting and mechanical systems for buildings. (C) 2002 Elsevier Science B.V. All rights reserved.
Keywords:
artificial intelligence
genetic algorithms
building design
low-energy design
generative systems
optimization in architecture
architectural design
genetic algorithms in architecture
artificial intelligence in architecture
environmental design
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