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《第37届中国控制会议论文集(B)》2018年
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Multi-objective Assignment Optimization of Port Supply Chain Based on Interval Analysis

Cheng-Shou Lai  Jing Lu  Yu Qiao  
【摘要】:Aiming at giving full play to the advantages of enterprise operation under the background of professional division of labor, logistics assignment in the port supply chain is studied. The uncertainty of shipper's demand, unit cost and operating time, which can be described as interval numbers, and an optimization model for port supply chain based on minimization of costs and total operating cycle is established. As the objective function is a nonlinear interval uncertain problem, a double nested genetic algorithm is designed for the assignment problem. In the algorithm, the inner-layer genetic algorithm(IP-GA) is used to solve the objective function interval in the uncertainty domain, while the outer layer is nondominated sorting genetic algorithm(NSGA-Ⅱ). Finally, a case study is given to demonstrate the superiority and feasibility of the proposed algorithm for multi-objective interval optimization.
【作者单位】:Transportation Engineering College, Dalian Maritime University
【分类号】:TP18;F552;F274

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