Optimizing the distribution of shopping centers with parallel genetic algorithm |
| |
| Affiliation: | 1. Academy of Scientific and Innovative Research, Anusandhan Bhawan, Rafi Marg, New Delhi 110 001, India;2. Environmental Chemistry Division, CSIR-Indian Institute of Toxicology Research, Post Box 80, Mahatma Gandhi Marg, Lucknow 226 001, India;3. Kanban Systems Pvt. Ltd., Laxmi Nagar, Delhi 110092, India;1. Laboratory of Thermodynamics, Department of Biochemical and Chemical Engineering, Technische Universität (TU) Dortmund, Emil-Figge-Strasse 70, 44227 Dortmund, Germany |
| |
| 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. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
