Ship traffic optimization method for solving the approach channel and lock co-scheduling problem of the Three Gorges Dam on the Yangzi River. (15th May 2023)

• Record Type: Journal Article
• Authors: Zhang, Yu; Zheng, Qian-Qian; He, Li-Jun; Tian, Hong-Wei
• Is Part Of: Ocean engineering. Volume 276(2023)
• Publication Date: 2023-05-15
• Subjects: Ship traffic optimization -- Approach channel and lock co-scheduling -- Energy consumption -- Fuzzy correlation entropy -- Multi-objective metaheuristic; Ocean engineering -- Periodicals; Ocean engineering; Periodicals; 620.4162
• DOI: 10.1016/j.oceaneng.2023.114196
• Languages: English
• ISSNs: 0029-8018

Abstract

Abstract: Since the demands of waterway transport on the Yangzi River have been growing in recent years, traffic congestion at Three Gorges Dam (TGD) has become a very serious issue, which leads to long waiting time as well as environmental pollution. To improve the efficiency of the ship traffic scheduling, this paper investigates an approach channel and lock co-scheduling problem of the TGD on the Yangzi River. A new mathematical model is presented to optimize the lock chamber utilization rate, average waiting time and total energy consumption of ships, simultaneously. To solve this problem, a multi-objective metaheuristic algorithm (MOMA) based on fuzzy correlation entropy is proposed. In the algorithm, with a ship sequence encoding scheme, a pre-grouping panning approach is firstly designed for decoding. Then, a fitness evaluation mechanism using fuzzy correlation entropy is adopted to assess the solutions. Finally, an adaptive local reinforcement search strategy is introduced to improve local intensification ability. Various simulation experiments are carried out based on the real historical data at TGD. Computational results demonstrate the applicability and effectiveness of proposed MOMA. The result of this study is very useful for TGD to improve the ship traffic efficiency and save energy. Highlights: An approach channel and lock co-scheduling problem is studied. A new multi-objective mathematical model is proposed for this problem. The energy consumption of ships is considered. An effective multi-objective metaheuristic (MOMA) algorithm is developed. Results confirm the effectiveness of the proposed MOMA.