运筹与管理2016，Vol.25Issue(6)：75-82,8.DOI:10.12005/orms.2016.0204
基于改进模拟植物生长算法的集装箱码头插船调度优化
Scheduling Opti mizing of Ju mping Queue Ship in Container Terminal Based on Improved Plant Growth Simulation Algorithm
摘要
Abstract
In order to solve the berth scheduling problem of unexpected arrived vessels,this paper models an optimization model which aims to minimum cost of arranging the operations of unexpected arrived vessels from the port’s view and solves it by an improved plant growth simulation algorithm (PGSA ).The analysis of an actual case shows that the model and algorithm can effectively solve the above problems and achieve good results. Genetic algorithm is also included in this paper to compare with improved PGSA,the results show that improved PGSA has better speed and precision,thus more effective.The model and algorithm in this paper will solve the berth scheduling problem of unexpected arrived vessels more effectively and provide ideas and methods in container terminal under special conditions.关键词
模拟植物生长算法/集装箱码头/调度/优化Key words
plant growth simulation algorithm/container terminal/scheduling/optimization分类
交通工程引用本文复制引用
王诺,沈铭棋,刘忠波..基于改进模拟植物生长算法的集装箱码头插船调度优化[J].运筹与管理,2016,25(6):75-82,8.基金项目
国家自然科学基金资助项目 （）
