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Lockage scheduling of Three Gorges-Gezhouba dams by hybrid of chaotic particle swarm optimization and heuristic-adjusted strategies

机译:混沌粒子群算法与启发式调整策略相结合的三峡葛洲坝水库大坝闭锁调度

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摘要

This paper establishes a mathematical model for lockage scheduling of Three Gorges-Gezhouba Dams (LSTGD) problem based on the requirement of scheduling procedure in Three Gorges-Gezhouba Dams (TG-GD) system. The lockage scheduling is separated into three sub-problems: lockage assignment (LA), timetable optimization (TO) and ship dispatch (SD) problem. We propose chaotic embedded particle swarm optimization algorithm to solve the LSTGD problem. Meanwhile, three different chaotic maps are studied and the results are compared to evaluate the effect of different maps on PSO. In addition, heuristic-adjusted strategies are proposed based on the analysis of scheduling regulation to enhance the performance of the final solution. Finally, the proposed method is tested with the real historical execution data of lockage scheduling system in Three Gorges-Gezhouba Dams. The results show that the proposed method is efficient for solving the LSTGD problem. (C) 2015 Elsevier Inc. All rights reserved.
机译:根据三峡—葛洲坝大坝(TG—GD)系统的调度程序要求,建立了三峡—葛洲坝大坝(LSTGD)问题的调度数学模型。锁定调度分为三个子问题:锁定分配(LA),时间表优化(TO)和船舶调度(SD)问题。为了解决LSTGD问题,我们提出了混沌嵌入式粒子群算法。同时,研究了三种不同的混沌图,并比较了结果以评估不同图对PSO的影响。另外,基于调度规则的分析,提出了启发式调整策略,以提高最终解决方案的性能。最后,利用三峡—葛洲坝三峡船闸调度系统的真实历史执行数据对所提方法进行了测试。结果表明,该方法是解决LSTGD问题的有效方法。 (C)2015 Elsevier Inc.保留所有权利。

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