A bi-objective robust model for berth allocation scheduling under uncertainty
A bi-objective robust model for berth allocation scheduling under uncertainty
复制标题
DOI：
10.1016/j.tre.2017.07.006
复制
发表时间：
2017-10
影响因子：
10.6
通讯作者：
Xi Xiang;Changchun Liu;L. Miao
中科院分区：
文献类型：
--
作者：
Xi Xiang;Changchun Liu;L. Miao
本研究考虑了不确定性因素（包括停靠船舶的到达和运营时间）来研究泊位分配问题。建立了注重经济效益和顾客满意度的双目标鲁棒泊位分配模型。该模型旨在优化泊位分配策略的鲁棒性，并开发了自适应灰狼优化器算法来求解所提出的模型。启发式的性能是通过随机生成的实例来评估的。实验结果表明，所提出的启发式方法提供了良好的解质量和计算效率。
This study examines the berth allocation problem with the consideration of uncertainty factors, including the arrival and operation times of the calling vessels. A bi-objective robust berth allocation model, which focuses on economic performance and customer satisfaction, is formulated. The model aims to optimize the robustness of the berth allocation policy, and an adaptive grey wolf optimizer algorithm is developed to solve the proposed model. The performance of the heuristic is evaluated through randomly generated instances. Experimental results show that the proposed heuristic provides good solution quality and calculation efficiency.