【摘要】 为提升三峡-葛洲坝枢纽通航效率，研究了带同步移泊过程的引航道和船闸群协同调度问题（CSP-AC&SLG）。考虑船舶干舷高度和掌船技能，构建以水资源利用率最大化、平均船舶等待时间最小化及平均船舶总能耗最小化为目标的CSP-AC&SLG数学模型，并采用多目标混合启发式算法（MOHHA）进行求解。MOHHA采用双链编码方案和分阶段成组右移解码机制实现个体表述和求解，并引入模糊关联熵分析法评估多目标解，同时嵌入自适应参数调整策略和变邻域模拟退火提升算法求解能力。仿真结果表明，MOHHA能够求解CSP-AC&SLG，实现了通航效率提升和船舶能耗节约的双重目标。更多还原

【Abstract】 To improve the passing efficiency of Three Gorges-Gezhou Dams Hub, a co-scheduling problem of approach channel and ship lock group(CSP-AC&SLG) with synchronous moving process was studied. In consideration of the ship freeboard height and steering skill, a mathematical model of CSP-AC&SLG was formulated, aiming to maximize the water resource utilization, minimize the average waiting time of ships and minimize the average total energy consumption of ships. A multi-objective hybrid heuristic algorithm(MOHHA) was proposed to solve the problem. MOHHA makes use of dual chain coding scheme and staged group right-shift decoding strategy to respectively represent and decode each solution. A fuzzy correlation entropy analysis method was triggered to assess multi-objective solutions. An adaptive parameter adjustment strategy and variable neighborhood simulated annealing were then inserted to enhance the resolution ability of the algorithm. Simulation results demonstrate that MOHHA can deal with CSP-AC&SLG, realizing the dual goals of improving the navigation efficiency and saving the energy consumption of ships.更多还原