| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 553399 | Decision Support Systems | 2006 | 13 Pages |
Abstract
This paper analyzes a linear feature covering problem (LFCP) with distance constraints, and characterizes the problem by a fuzzy multi-objective (MO) optimization model. An integrated approach combining an Ant algorithm (LFCP-Ant) and a Geographic Information System (GIS) has been devised to solve the LFCP problem in large scale. The efficacy of the proposed approach is demonstrated using a case study of locating new fire stations in Singapore. A GIS has been used to transform the continuous problem into a discrete one, which is then solved using the LFCP-Ant. This algorithm employs a two-phase local search to improve both search efficiency and precision.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Information Systems
Authors
Bo Huang, Nan Liu, Magesh Chandramouli,