受限水域积压船舶应急疏导组织优化决策模型

doi:10.16265/j.cnki.issn1003-3033.2018.01.029

中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (1): 173-178.doi: 10.16265/j.cnki.issn1003-3033.2018.01.029

受限水域积压船舶应急疏导组织优化决策模型

刘清^1,2 教授, 殷同乐¹, 王磊¹, 容敏敏¹

1 武汉理工大学交通学院,湖北武汉 430063
2 国家水运安全工程技术研究中心,湖北武汉 430063

收稿日期:2017-10-18 出版日期:2018-01-28 发布日期:2020-09-28
作者简介:刘清 (1966—),女,湖北武汉人,博士,教授,博士生导师,主要从事交通运输系统优化与决策、交通运输安全、港口航运与综合物流、供应链管理理论与方法、物流系统规划与管理等方面的研究。
基金资助:
国家自然科学基金资助(51379171);中央高校基本科研业务费专项资金资助(2017-zy-018,2017-zy-014)。

Organization optimization decision making model for emergency evacuation of overstocked ships in restricted waters

LIU Qing^1,2, YIN Tongle¹, WANG Lei¹, RONG Minmin¹

1 School of Transportation, Wuhan University of Technology, Wuhan Hubei 430063, China
2 National Engineering Research Center for Water Transport Safety, Wuhan Hubei 430063, China

Received:2017-10-18 Online:2018-01-28 Published:2020-09-28

摘要/Abstract

摘要： 为平衡受限水域船舶长期积压可能带来的损失及应急疏导组织所需的人力、资源等成本投入,从积压船舶应急疏导组织实际需求出发,以保障通航安全性为约束条件,构建应急疏导组织投入与积压损失最小的多目标优化(MOP)模型;针对三峡坝前积压船舶开展模型实证研究,提出符合船舶积压现状的疏导途径,并运用遗传算法(GA)求得其应急疏导组织策略。研究结果表明:所构建的多目标优化模型能为决策者提供不同偏好下的受限水域积压船舶应急疏导组织优化决策方案集。

关键词: 船舶积压, 多目标优化, 遗传算法 (GA), 应急疏导组织, 优化决策

Abstract: The paper was aimed at facilitating the balance between the loss of long-term shipping backlog in restricted waters and the cost needed for emergency evacuation organization. A multi objective optimization model with minimum cost and backlog losses was built after considering the actual demands of the shipping backlog emergency evacuation organization, and the constraints of water safety objective. The model was verified by the example of the emergency evacuation organization of the ship backlog in the Three Gorges Dam. The GA was applied to get the emergency evacuation organization strategies in this restricted water. Results of this study demonstrate that the multi-objective optimization model can provide different emergency evacuation organization optimization schemes for decision-makers different in risk preference.

Key words: shipping backlog, multi-objective optimization, genetic algorithm (GA), emergency evacuation organization, optimizing decision making

中图分类号:

X928.03

刘清, 殷同乐, 王磊, 容敏敏. 受限水域积压船舶应急疏导组织优化决策模型[J]. 中国安全科学学报, 2018, 28(1): 173-178.

LIU Qing, YIN Tongle, WANG Lei, RONG Minmin. Organization optimization decision making model for emergency evacuation of overstocked ships in restricted waters[J]. China Safety Science Journal, 2018, 28(1): 173-178.

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受限水域积压船舶应急疏导组织优化决策模型

Organization optimization decision making model for emergency evacuation of overstocked ships in restricted waters

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