TY - JOUR
T1 - An ant colony system-based hybrid algorithm for an emergency roadway repair time-space network flow problem
AU - Yan, Shangyao
AU - Shih, Yu Lin
N1 - Funding Information:
This research (NSC96-2415-H-008-008-MY2) was funded by the National Science Council of Taiwan. We thank the Directorate General of Highways, MOTC for providing the test data and his valuable opinions. We also thank the anonymous referees for their valuable suggestions which greatly improved the presentation of this article.
PY - 2012/9
Y1 - 2012/9
N2 - In this study, we employ an ant colony system (ACS) algorithm, coupled with a threshold accepting technique, to develop an ACS-based hybrid algorithm that is capable of efficiently solving an emergency roadway repair time-space network flow problem. To test how well the algorithm may be applied to actual operations, we perform a case study using data from the 1999 Chi-Chi earthquake in Taiwan. To assess the robustness of the model and solution algorithm for different roadway network patterns, we generate 16 problem instances with four different roadway network patterns. The method that uses CPLEX to directly solve the problem and a previously proposed heuristic are used to compare with our algorithm. The test results show that our algorithm is both effective and efficient enough to solve problems with different roadway networks, and therefore, would be useful in practice.
AB - In this study, we employ an ant colony system (ACS) algorithm, coupled with a threshold accepting technique, to develop an ACS-based hybrid algorithm that is capable of efficiently solving an emergency roadway repair time-space network flow problem. To test how well the algorithm may be applied to actual operations, we perform a case study using data from the 1999 Chi-Chi earthquake in Taiwan. To assess the robustness of the model and solution algorithm for different roadway network patterns, we generate 16 problem instances with four different roadway network patterns. The method that uses CPLEX to directly solve the problem and a previously proposed heuristic are used to compare with our algorithm. The test results show that our algorithm is both effective and efficient enough to solve problems with different roadway networks, and therefore, would be useful in practice.
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U2 - 10.1080/18128602.2010.515550
DO - 10.1080/18128602.2010.515550
M3 - Article
AN - SCOPUS:84865254363
VL - 8
SP - 361
EP - 386
JO - Transportmetrica A: Transport Science
JF - Transportmetrica A: Transport Science
SN - 2324-9935
IS - 5
ER -