Application of Simulation Modeling and Optimization in Container Terminal
In order to develop advantages of simulation model and optimization methods to analyze the scheduling problem in container port, we propose a Hybrid Frame with integration of simulating and optimizing. The simulation model is mainly based on the discrete event system simulation method. And Particle Swarm Optimization (PSO) is chosen to optimize the results. Inspired from the multi-Agent method and the characteristic of PSO, every individual can be seen as an Agent which can carry out the simulation model separately and arallelly. We build a model of berth allocation in container terminal and select real data to do experiment. The result proves that the framework is available and effective.
Simulation Optimization Particle Swarm Optimization container terminal berth allocation problem
Xiaolei Liang Wenfeng Li Yu Zhang Bin Li
School of Logistic Engineering Wuhan University of Technology Wuhan, Hubei, 430063, China Dept. Economics & Management Fujian University of Technology Fuzhou 350108, China
国际会议
成都
英文
188-190
2010-12-03(万方平台首次上网日期,不代表论文的发表时间)