Application of PGA on optimization of distribution of shopping centers

Bin Yu; Chun Tian Cheng; Zhong Zheng Yang; Kwok Wing Chau

Application of PGA on optimization of distribution of shopping centers

Bin Yu, Chun Tian Cheng, Zhong Zheng Yang, Kwok Wing Chau

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

5 Citations (Scopus)

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.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages	576-586
Number of pages	11
Publication status	Published - 1 Dec 2005
Event	9th Congress of the Italian Association for Artificial Intelligence - AI/IA 2005: Advances in Artificial Intelligence - Milan, Italy Duration: 21 Sept 2005 → 23 Sept 2005

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3673 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th Congress of the Italian Association for Artificial Intelligence - AI/IA 2005: Advances in Artificial Intelligence
Country/Territory	Italy
City	Milan
Period	21/09/05 → 23/09/05

ASJC Scopus subject areas

General Computer Science
General Biochemistry,Genetics and Molecular Biology
Theoretical Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

Yu, B., Cheng, C. T., Yang, Z. Z., & Chau, K. W. (2005). Application of PGA on optimization of distribution of shopping centers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 576-586). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3673 LNAI).

Yu, Bin ; Cheng, Chun Tian ; Yang, Zhong Zheng et al. / Application of PGA on optimization of distribution of shopping centers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005. pp. 576-586 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Application of PGA on optimization of distribution of shopping centers",

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.",

author = "Bin Yu and Cheng, {Chun Tian} and Yang, {Zhong Zheng} and Chau, {Kwok Wing}",

year = "2005",

month = dec,

day = "1",

language = "English",

isbn = "3540290419",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

note = "9th Congress of the Italian Association for Artificial Intelligence - AI/IA 2005: Advances in Artificial Intelligence ; Conference date: 21-09-2005 Through 23-09-2005",

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Yu, B, Cheng, CT, Yang, ZZ & Chau, KW 2005, Application of PGA on optimization of distribution of shopping centers. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3673 LNAI, pp. 576-586, 9th Congress of the Italian Association for Artificial Intelligence - AI/IA 2005: Advances in Artificial Intelligence, Milan, Italy, 21/09/05.

Application of PGA on optimization of distribution of shopping centers. / Yu, Bin; Cheng, Chun Tian; Yang, Zhong Zheng et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005. p. 576-586 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3673 LNAI).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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N2 - 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.

AB - 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.

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SN - 3540290419

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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ER -

Yu B, Cheng CT, Yang ZZ, Chau KW. Application of PGA on optimization of distribution of shopping centers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005. p. 576-586. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Application of PGA on optimization of distribution of shopping centers

Abstract

Publication series

Conference

ASJC Scopus subject areas

UN SDGs

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