| 基于多目标遗传算法的煤码头泊位与机械联合调度 |
| 投稿时间：2015-04-14 修订日期：2015-06-06 点此下载全文 |
| 引用本文：宓为建,王郡娴,张晓华,梁枭,夏孟珏.基于多目标遗传算法的煤码头泊位与机械联合调度[J].上海海事大学学报,2016,37(2):46-52. |
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| 基金项目:上海青年科技英才扬帆计划（15YF1404900）；上海市科学技术委员会部分地方院校能力建设专项计划（13510501800）；上海市教育委员会科研创新项目（14ZZ140）；上海海事大学博士创新项目（2014ycx040）；上海海事大学研究生创新基金（2015ycx031） |
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| 中文摘要:针对煤码头泊位分配问题，考虑泊位与机械的联合调度.综合考虑煤种类对船舶靠泊位置的影响、航道开放时间和如开设机械双线作业等特殊原则，以最大化岸线利用率和机械利用率以及最小化船舶在港时间为目标，建立泊位与机械的联合调度模型.设计具有自适应性的多目标遗传算法进行求解.利用天津港煤码头实际案例分析验证模型的可行性和算法的有效性.该方法可为大多数散货码头的生产运营管理提供借鉴. |
| 中文关键词:煤码头 泊位分配 机械调度 多目标遗传算法 |
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| Berth and machine joint scheduling of coal terminals based on multi-objective genetic algorithm |
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| Abstract:Aiming at berth allocation in coal terminals, the joint scheduling of berth and machine is considered. The influence of coal type on ship berth, the channel open time and the permission of special principles such as both way operation of machines are taken into account. The objects are to maximize the utilization rate of coastline and machine and to minimize the time of ships in ports. A model of berth and machine joint scheduling is proposed. A multi objective genetic algorithm is designed to solve this model. A case in a coal terminal of Tianjin Port is used to verify the feasibility of the proposed model and the efficiency of the designed algorithm. The proposed method can provide reference for operation management of almost all cargo terminals. |
| keywords:coal terminal berth allocation machine scheduling multi objective genetic algorithm |
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