TY - GEN
T1 - Ship Lock Scheduling Method of Three Gorges Based on Improved Ant Colony and Surplus Rectangle Fill Algorithm
AU - Li, Zhenyao
AU - Zhao, Zunrong
AU - Yip, Tsz Leung
AU - Wu, Bing
N1 - Funding Information:
The research presented in this paper was sponsored ey a grant from International Cooperation and Exchange of the National Natural Science Foundation of China (Grant No. 51920105014), National Natural Science Foundation of China (Grant No. 52071248, 52272422), ey the Innovation and entrepreneurship import project of Shaoguan city (201212176230928).
Publisher Copyright:
© 2023 IEEE.
PY - 2023/8
Y1 - 2023/8
N2 - In order to improve the navigation capacity of ship lock of Three Gorges and relieve the backlog of ships, an optimal algorithm for ship lock scheduling is proposed, which integrates improved ant colony algorithm and surplus rectangle fill algorithm. First, the average waiting time of ships and the average utilization rate of lock chamber area is treated as the objective function, the mathematical model of ship lock scheduling problem is constructed. Second, considering the navigation rules of the Three Gorges Dam and the attributes of ships, the concept of ship weight is introduced to determine the ship entry sequence. The global search ability of the algorithm is improved by the pheromone update strategy for the optimal lock chamber arrangement and the path transfer strategy combining adaptive selection and dynamic adjustment. For each iteration the lock chamber arrangement is implemented by the surplus rectangle fill algorithm in order to improve the local search ability. Finally, the actual data of ship lock in the Three Gorges dam is used to verify the performance of the proposed algorithm, and compared with the manual arrangement strategy and CPLEX solution results. The waiting time of the proposed algorithm is reduced by 10.26 % and 2.62%, and utilization rate of ship lock is increased by 8.42 % and 7.31%, respectively. The results show that the proposed algorithm has good performance for ship lock scheduling.
AB - In order to improve the navigation capacity of ship lock of Three Gorges and relieve the backlog of ships, an optimal algorithm for ship lock scheduling is proposed, which integrates improved ant colony algorithm and surplus rectangle fill algorithm. First, the average waiting time of ships and the average utilization rate of lock chamber area is treated as the objective function, the mathematical model of ship lock scheduling problem is constructed. Second, considering the navigation rules of the Three Gorges Dam and the attributes of ships, the concept of ship weight is introduced to determine the ship entry sequence. The global search ability of the algorithm is improved by the pheromone update strategy for the optimal lock chamber arrangement and the path transfer strategy combining adaptive selection and dynamic adjustment. For each iteration the lock chamber arrangement is implemented by the surplus rectangle fill algorithm in order to improve the local search ability. Finally, the actual data of ship lock in the Three Gorges dam is used to verify the performance of the proposed algorithm, and compared with the manual arrangement strategy and CPLEX solution results. The waiting time of the proposed algorithm is reduced by 10.26 % and 2.62%, and utilization rate of ship lock is increased by 8.42 % and 7.31%, respectively. The results show that the proposed algorithm has good performance for ship lock scheduling.
KW - ant colony algorithm
KW - ship lock scheduling
KW - surplus rectangle fill algorithm
KW - utilization rate of lock chamber area
KW - waiting time of ships
UR - http://www.scopus.com/inward/record.url?scp=85174298120&partnerID=8YFLogxK
U2 - 10.1109/ICTIS60134.2023.10243997
DO - 10.1109/ICTIS60134.2023.10243997
M3 - Conference article published in proceeding or book
AN - SCOPUS:85174298120
T3 - 7th IEEE International Conference on Transportation Information and Safety, ICTIS 2023
SP - 657
EP - 664
BT - 7th IEEE International Conference on Transportation Information and Safety, ICTIS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE International Conference on Transportation Information and Safety, ICTIS 2023
Y2 - 4 August 2023 through 6 August 2023
ER -