Application of PGA on optimization of distribution of shopping centers

Bin Yu; Chun Tian Cheng; Zhong Zheng Yang; Kwokwing Chau

doi:10.1007/11558590_58

Application of PGA on optimization of distribution of shopping centers

Bin Yu^*
, Chun Tian Cheng
, Zhong Zheng Yang
, Kwokwing Chau

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

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	AI/IA 2005
Subtitle of host publication	Advances in Artificial Intelligence - 9th Congress of the Italian Association for Artificial Intelligence, Proceedings
Publisher	Springer Verlag
Pages	576-586
Number of pages	11
ISBN (Print)	3540290419, 9783540290414
DOIs	https://doi.org/10.1007/11558590_58
State	Published - 2005
Externally published	Yes
Event	9th Congress of the Italian Association for Artificial Intelligence - AI/IA 2005: Advances in Artificial Intelligence - Milan, Italy Duration: 21 Sep 2005 → 23 Sep 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

UN SDGs

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

SDG 11 Sustainable Cities and Communities
SDG 15 Life on Land

Access to Document

10.1007/11558590_58

Cite this

Yu, B., Cheng, C. T., Yang, Z. Z., & Chau, K. (2005). Application of PGA on optimization of distribution of shopping centers. In AI/IA 2005: Advances in Artificial Intelligence - 9th Congress of the Italian Association for Artificial Intelligence, Proceedings (pp. 576-586). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3673 LNAI). Springer Verlag. https://doi.org/10.1007/11558590_58

Yu, Bin ; Cheng, Chun Tian ; Yang, Zhong Zheng et al. / Application of PGA on optimization of distribution of shopping centers. AI/IA 2005: Advances in Artificial Intelligence - 9th Congress of the Italian Association for Artificial Intelligence, Proceedings. Springer Verlag, 2005. pp. 576-586 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{8465f53aed4a419c8002bbb38b07403b,

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 Kwokwing Chau",

year = "2005",

doi = "10.1007/11558590\_58",

language = "英语",

isbn = "3540290419",

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

publisher = "Springer Verlag",

pages = "576--586",

booktitle = "AI/IA 2005",

address = "德国",

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",

}

Yu, B, Cheng, CT, Yang, ZZ & Chau, K 2005, Application of PGA on optimization of distribution of shopping centers. in AI/IA 2005: Advances in Artificial Intelligence - 9th Congress of the Italian Association for Artificial Intelligence, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3673 LNAI, Springer Verlag, pp. 576-586, 9th Congress of the Italian Association for Artificial Intelligence - AI/IA 2005: Advances in Artificial Intelligence, Milan, Italy, 21/09/05. https://doi.org/10.1007/11558590_58

Application of PGA on optimization of distribution of shopping centers. / Yu, Bin; Cheng, Chun Tian; Yang, Zhong Zheng et al.
AI/IA 2005: Advances in Artificial Intelligence - 9th Congress of the Italian Association for Artificial Intelligence, Proceedings. Springer Verlag, 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/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Yu, Bin

AU - Cheng, Chun Tian

AU - Yang, Zhong Zheng

AU - Chau, Kwokwing

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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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DO - 10.1007/11558590_58

M3 - 会议稿件

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SN - 3540290419

SN - 9783540290414

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

SP - 576

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ER -

Yu B, Cheng CT, Yang ZZ, Chau K. Application of PGA on optimization of distribution of shopping centers. In AI/IA 2005: Advances in Artificial Intelligence - 9th Congress of the Italian Association for Artificial Intelligence, Proceedings. Springer Verlag. 2005. p. 576-586. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11558590_58

Application of PGA on optimization of distribution of shopping centers

Abstract

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