Please use this identifier to cite or link to this item:
Title: Civil engineering applications of genetic algorithms
Authors: Chan, Weng-Tat 
Chua, David K.H. 
Issue Date: 1996
Citation: 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)
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

checked on Jan 26, 2023

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.