Computational Intelligence for Design Decisions: A Case Study for High-Rise Buildings

نویسنده

  • Berk Ekici
چکیده

Research Summary: Architectural design is considered as one of the most complex tasks due requirements for fulfillment of multiple objectives that are inherently conflicting. More, these very objectives strongly influence how final solutions for architectural design are shaped. Starting from the conceptual phase, the ultimate role of the architect, therefore, is to satisfy all vital design aspects by means of maximizing the advantages and minimizing the disadvantages. In the field of architecture, high-rise buildings could be the best example of the most complex structures to design and construct. Besides their complexity, urbanized cities are expected to require high-rise building alternatives to cope with the dense population in limited urban areas. Moreover, the World population is expected to reach to level of nine billion inhabitants by 2050. This suggests an increasing demand to high-rise buildings, which will play a significant role for future urbanization. Therefore, form-finding problem of high-rise buildings must be considered attentively starting from the conceptual design phase; hence, the form of proposed design strongly influences pivotal performance measures. Accordingly, the aim of this research is to develop a tool that is capable to serve at the conceptual design phase, based on computational intelligence methods in order to deal with complex design problems by considering high-rise buildings. Email: [email protected]

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تاریخ انتشار 2017