| Article ID: | iaor2002563 |
| Country: | China |
| Volume: | 22 |
| Issue: | 3 |
| Start Page Number: | 217 |
| End Page Number: | 220 |
| Publication Date: | Sep 2000 |
| Journal: | Journal of University of Shanghai for Science and Technology |
| Authors: | Ma Liang, Qiu Mojie |
| Keywords: | ant system |
Location problem is typical in operations research, which has wide applications in real life. Based on the recently developed ant colony optimization strategy, a new algorithm for solving planar location problem with regional constraints is proposed in the paper. By modifying the transition probability and some relevant parameters, the algorithm extends the ant-based ideas used in combinatorial optimization to continuous function optimization. Numerical examples are tested and compared which give effective and encouraging results.