Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1295
Title: Application of PGA on optimization of distribution of shopping centers
Authors: Yu, B
Cheng, C
Yang, ZZ
Chau, KW 
Keywords: Parallel genetic algorithm
Public traffic networks
Optimization
Shopping centers
Problem solving
Modal split
Transportation
Issue Date: 2005
Publisher: Springer
Source: In S Bandini & S Manzoni (Eds.), AI*IA 2005 : advances in artificial intelligence : 9th Congress of the Italian Association for Artificial Intelligence, Milan, Italy, September 21-23, 2005 : proceedings, p. 576-586. Berlin : Springer, 2005 How to cite?
Series/Report no.: Lecture notes in computer science ; v. 3673
Abstract: In this study, the distribution of shopping centers is optimized in terms of realizing the shortest car-based shopping trips in an urban area. Modal split is performed between road and public traffic networks is calculated, and then the interaction between land-use and transportation in the context of choice of shopping destinations is modeled to build the optimal function. Parallel genetic algorithm (PGA) is applied to solve the optimal problem on distribution of the area of shopping centers. Several problems in application of PGA are discussed. A case study is undertaken in order to examine the effectiveness of this method.
URI: http://hdl.handle.net/10397/1295
ISBN: 978-3-540-29041-4
DOI: 10.1007/11558590_58
Rights: © Springer-Verlag Berlin Heidelberg 2005. The original publication is available at http://www.springerlink.com.
Appears in Collections:Book Chapter

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