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Modeling and optimization of ocean-going unloading problem with stochastic demand

  • Shengkai Jin*
  • , Shiji Song
  • , Yuli Zhang
  • , Cheng Wu
  • *此作品的通讯作者
  • Tsinghua University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

One of the important Challenges for steel enterprises is to reduce the procuremen1t cost occurred in unloading process of ocean-going ship, ore as the main material contains usually some uncertain demand, and its unloading process is a typically complex problem with large scale. In this paper, unloading cost composition is analyzed strictly, and its mathematical model with stochastic demand is established wherein various complex constrains are considered. Further, Lagrangian relaxation algorithm and genetic algorithm combined with sub-gradient is designed to solve this problem. Finally, an example is simulated and illustrated to interpret the effectiveness and accuracy of proposed algorithm.

源语言英语
主期刊名2010 International Conference on Networking, Sensing and Control, ICNSC 2010
658-663
页数6
DOI
出版状态已出版 - 2010
已对外发布
活动2010 International Conference on Networking, Sensing and Control, ICNSC 2010 - Chicago, IL, 美国
期限: 10 4月 201012 4月 2010

丛书

姓名2010 International Conference on Networking, Sensing and Control, ICNSC 2010

会议

会议2010 International Conference on Networking, Sensing and Control, ICNSC 2010
国家/地区美国
Chicago, IL
时期10/04/1012/04/10

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