摘要
Genetic Algorithm （GA） is widely adopted in optimization and the improvement of its optimization performance is attracting many researchers＇ attentions. In solving practical probtems 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 rute that can be applied to such conversion has been devetoped so far. In general, problems which can be addressed by GA can be divided into combinatorial problems and numerical probtems. In this paper, by means of attempting to disintegrate a complicated architectural probtem into combinatorial and numericat probtems, the author discusses feasibitity and practicality of sotving these two types of problems simultaneousty utitizing GA and discloses both advantages and disadvantages of GA by comparing with other algorithms.
Genetic Algorithm （GA） is widely adopted in optimization and the improvement of its optimization performance is attracting many researchers＇ attentions. In solving practical probtems 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 rute that can be applied to such conversion has been devetoped so far. In general, problems which can be addressed by GA can be divided into combinatorial problems and numerical probtems. In this paper, by means of attempting to disintegrate a complicated architectural probtem into combinatorial and numericat probtems, the author discusses feasibitity and practicality of sotving these two types of problems simultaneousty utitizing GA and discloses both advantages and disadvantages of GA by comparing with other algorithms.
