| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 381749 | Engineering Applications of Artificial Intelligence | 2007 | 9 Pages |
Abstract
This study optimizes the distribution of shopping centers (SCs) to satisfy vendors and shoppers in terms of realizing the shortest car-based shopping trips in an urban area. First, modal split between car and transit is estimated, and then the interaction between land-use and transportation in the context of choice of shopping destinations is modeled to build an optimal function. Second, parallel genetic algorithm (PGA) is used to solve the optimal problem and several problems in application of GA are discussed. Finally, a case study which examines the effectiveness of the method, is carried out.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Bin Yu, Zhongzhen Yang, Chuntian Cheng,