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Orthogonal Design-Based NSGA-III for the Optimal Lockage Co-Scheduling Problem

机译:基于正交设计的NSGA-III,用于最佳锁定共调度问题

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Lockage co-scheduling of Three Gorges Dam and Gezhou Dam (LCSTD) is a mixed-integer nonlinear optimization (MINO) problem. This paper establishes a multi-objective MINO model for the LCSTD problem, in which two criteria reflecting the interests of shippers on the one side and owners of the lock on the other side are considered as two parallel optimization objectives. The LCSTD problem is separated into three sub-problems. The first sub-problem concerns the lockage number and lockage direction determination, while the second and third sub-problems refer to lockage time optimization and ship placement, respectively. An orthogonal design-based non-dominated sorting genetic algorithm III (ONSGA-III) is presented, and then, we combine the ONSGA-III with a time-area series assignment method to optimize the LCSTD problem. Meanwhile, a heuristic adjustment strategy is proposed according to the structure of the lockage time optimization sub-problem to enhance the exploration ability of ONSGA-III. Furthermore, a compromise solution is chosen from the achieved non-dominated Pareto solutions by utilizing a membership function. Finally, the method is tested on the instances, which are extracted from historical data at Three Gorges Dam and Gezhouba Dam. The Pareto solutions achieved by the proposed method are compared with those of other methods. The simulation results demonstrate that the proposed method is efficient for solving the LCSTD problem.
机译:三峡大坝和葛洲大坝(LCSTD)的锁定共同调度是一个混合整数非线性优化(MINO)问题。本文为LCSTD问题建立了多目标MINO模型,其中反映了对另一侧锁的一侧和所有者对托运人的利益的两个标准被认为是两个并行优化目标。 LCSTD问题分为三个子问题。第一子问题涉及锁定数和锁定方向确定,而第二和第三子问题分别是指锁定时间优化和船舶放置。呈现了基于正交的基于设计的非主导分类遗传算法III(ONSGA-III),然后,我们将ONSGA-III与时区系列分配方法组合以优化LCSTD问题。同时,根据锁定时间优化子问题的结构提出了启发式调整策略,以提高Onsga-III的勘探能力。此外,通过利用隶属函数,从实现的非主导的帕累托溶液中选择折衷溶液。最后,在三峡大坝和葛洲巴坝的历史数据中提取了该方法。通过所提出的方法实现的Pareto解决方案与其他方法的帕托溶液进行比较。仿真结果表明,该方法对于解决LCSTD问题是有效的。

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