水道港口2017，Vol.38Issue(3)：313-319,7.
基于服务损失函数的集装箱码头泊位—岸桥联合调度优化
Optimization of berth and quay-crane integrated scheduling in container terminal based on service loss function
摘要
Abstract
With the emergence of the uncertain environment, diversity and difference services, it needs to make an optimization of berth quay-crane integrated scheduling methods in container terminal to improve the efficiency and customer satisfaction. According to the resource allocation problem of berth and quay-crane in container terminal, by adding a buffer time to absorb the impact of uncertain factors on scheduling, based on the multiple service quality loss function, an optimization model was established aiming at the deviation of the optimum berth loss, move loss of quay-crane and ship time loss in port. Moreover, the improved genetic algorithm was used to solve the model, and the validity of the model and algorithm was proved by experiments.关键词
不确定环境/服务损失/泊位与岸桥/客户满意度/遗传算法Key words
uncertain environment/service loss/berth and quay-crane/customer satisfaction/genetic algorithm分类
交通工程引用本文复制引用
王智灵,刘桂云,刘明涛..基于服务损失函数的集装箱码头泊位—岸桥联合调度优化[J].水道港口,2017,38(3):313-319,7.基金项目
宁波市自然基金项目(2016A610074) （2016A610074）
浙江省软科学项目(2015C25039) （2015C25039）
宁波港口经济圈文化创新团队 （）
