کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
246599 | 502381 | 2014 | 15 صفحه PDF | دانلود رایگان |
• Description of a multidisciplinary design optimization framework for concept design
• Identification of performance feedback criteria for early stage architectural design
• Description of a custom genetic algorithm for design and performance optimization
• Validation and measurement of an evolutionary optimization method for design
• Improvements for early stage design decision-making through an MDO framework
Multidisciplinary design optimization (MDO) has been identified as a potential means for integrating design and energy performance domains but has not been fully explored for the specific demands of early stage architectural design. In response a design framework, titled Evolutionary Energy Performance Feedback for Design (EEPFD), is developed to support early stage design decision-making by providing rapid iteration with performance feedback through parameterization, automation, and multi-objective optimization. This paper details the development and initial validation of EEPFD through two identified needs of early stage design: 1) the ability to accommodate formal variety and varying degrees of geometric complexity; and 2) the ability to provide improved performance feedback for multiple objective functions. Through experimental cases the research presents effective application of EEPFD for architectural design.
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Journal: Automation in Construction - Volume 38, March 2014, Pages 59–73