The optimization of architectural shape based on Genetic Algorithm
The optimization of architectural shape based on Genetic Algorithm
Li Li1,2()
1. Computer Aided Architectural Design, Institute for Technology in Architecture (ITA), Department for Architecture, ETH Zürich, Züurich 8092, Switzerland; 2. Urban Architectural Lab, Architectural Design Institute of Southeast University, Nanjing 210096, China
Genetic Algorithm (GA) is widely adopted in optimization and the improvement of its optimization performance is attracting many researchers’ attentions. In solving practical problems in the process of architectural design, the ways of converting design problems into mathematical models that can be addressed by GA are of great significance in achieving final optimal results. However, no such rule that can be applied to such conversion has been developed so far. In general, problems which can be addressed by GA can be divided into combinatorial problems and numerical problems. In this paper, by means of attempting to disintegrate a complicated architectural problem into combinatorial and numerical problems, the author discusses feasibility and practicality of solving these two types of problems simultaneously utilizing GA and discloses both advantages and disadvantages of GA by comparing with other algorithms.
Corresponding Author(s):
Li Li,Email:li.li@arch.ethz.ch
引用本文:
. The optimization of architectural shape based on Genetic Algorithm[J]. Frontiers of Architectural Research, 2012, 1(4): 392-399.
Li Li. The optimization of architectural shape based on Genetic Algorithm. Front. Archit. Res., 2012, 1(4): 392-399.