NDLI: Application of Genetic Algorithm to Spatial Distribution in Urban Planning

Content Provider	IEEE Xplore Digital Library
Author	Hu Xin Zhang Zhi-xia
Copyright Year	2008
Description	Author affiliation: Sch. of Civil Eng., Xi'an Univ. of Arch.&Tech., Xian (Zhang Zhi-xia)
Abstract	Urban planning is a important part of urban construction, spatial distribution is subordinate to urban planning, it is difficult to obtain a satisfactory solution by traditional optimal methods. In view of the factors that influence urban spatial distribution are diverse and dynamic and city needs to keep the balance continuously in the development, genetic algorithm method is selected because it just reflects the dynamic idea of spatial planning. Based on the classical optimization method, a genetic search optimization algorithm in continuous space is presented. The selection of the key parameters is discussed. The calculation results of computational examples with the algorithm proposed are given an application example is analyzed to illustrate the use of the model and to demonstrate its capabilities in determining the optimizing scheme of spatial distribution in urban planning. The algorithm is shown to be steadily convergent at global optimum.
Starting Page	1026
Ending Page	1029
File Size	84055
Page Count	4
File Format	PDF
ISBN	9781424435302
DOI	10.1109/KAMW.2008.4810667
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Urban planning Genetic mutations Optimization methods Mathematics Environmental economics Distributed computing spatial distribution Genetic algorithms genetic algorithm mutation Cities and towns target determination Civil engineering
Content Type	Text
Resource Type	Article

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