首页|多类风险协同控制的内河危化品航运优化建模

多类风险协同控制的内河危化品航运优化建模

扫码查看
为均衡提高危化品航运的经济性、安全性和环保性,考虑多类风险的协同控制,研究内河危化品航运组织的多目标优化建模与算法设计,解决航线设计、配船和货物配载的优化方案.研究针对危化品泄露事故,设计环境风险扩散模型;考虑船舶冲撞桥梁和危化品爆炸的联合作用,设计损毁风险度量模型.以经济收益最大化和风险最小化为目标,构建 0-1 混合整数非线性规划模型,并使用分阶段的遗传算法进行求解.最后,通过多个算例验证模型算法有效性.结果表明:危化品航运优化模型和算法能提供多个有效方案;相较于传统风险模型,新的损毁风险度量模型能增加 3.97%的收益;相较于增广ε-约束法,新算法可缩短 63.80%的求解时间,且保有一定的计算稳定性.
Modeling of hazardous chemicals shipping in inland waterways under multi-risk cooperative control
In order to keep the balanced improvements in the aspects of economic,safety,and environmental protection of hazardous materials shipping,the multi-objective optimization of hazardous materials shipping on the inland river is proposed under the consideration of cooperative control of multiple risks,aiming to make decisions for the shipping route design,vessel allocation,and cargo loading planning simultaneously.Focusing on the leakage,a risk diffusion model is developed.With the consideration of the combined impacts of vessel collisions with bridges and explosions,the damage risk assessment is formulated accordingly.A multi-objective 0-1 mixed-integer nonlinear programming model,maximizing the economic benefits,minimizing the environmental and collision risks,is developed.Also,the solution procedure based on the genetic algorithm is designed.Finally,some numerical tests are provided to demonstrate the corresponding workability,where the computational results show that,the developed method can provide several efficient plans.In comparison to the traditional risk assessment,the new risk model can provide an optimal plan with an incensement of 3.97%in economic benefits.Comparing to the general method,the proposed algorithm can reduce the computational time by at least 63.80%and keep stable computational performance.

waterway transportationinland shippinghazardous chemicalsrisk assessmentmulti-objective optimizationgenetic algorithm

刘铭谦、赵佳虹

展开 >

广东工业大学 土木与交通工程学院,广州 510006

水路运输 内河航运 危化品 风险度量 多目标优化 遗传算法

国家自然科学基金项目广东省自然科学基金项目

618030912022A1515010192

2024

交通科技与经济
黑龙江工程学院

交通科技与经济

影响因子:0.862
ISSN:1008-5696
年,卷(期):2024.26(3)
  • 23