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 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
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SDG 15 Life on Land
ASJC Scopus subject areas
- General Computer Science
- General Biochemistry,Genetics and Molecular Biology
- Theoretical Computer Science
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