Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/65301
Title: Civil engineering applications of genetic algorithms
Authors: Chan, Weng-Tat 
Chua, David K.H. 
Issue Date: 1996
Source: Chan, Weng-Tat,Chua, David K.H. (1996). Civil engineering applications of genetic algorithms. Computing in Civil Engineering (New York) : 1072-1078. ScholarBank@NUS Repository.
Abstract: Genetic Algorithms (GAs) are a class of computational models that mimic the process of natural evolution and adaptation to the environment. Many researchers have noted the parallel between the above and the `optimum' seeking behaviour required in many aspects of problem solving. There are an increasing number of hybridized applications that employ some form of evolutionary competition and adaptation in conjunction with the computer simulation of an engineering model. In this paper, we review three of these hybridized applications and share some of the insights gained from designing and operating hybridized GA applications.
Source Title: Computing in Civil Engineering (New York)
URI: http://scholarbank.nus.edu.sg/handle/10635/65301
Appears in Collections:Staff Publications

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