Simulation-Based Optimization for Storage Allocation Problem of Outbound Containers in Automated Container Terminals
作者： Ning Zhao , Mengjue Xia , Chao Mi , Zhicheng Bian , Jian Jin
DOI: 10.1155/2015/548762
关键词: Handling system 、 Engineering 、 Simulation-based optimization 、 Waiting time 、 Real-time computing 、 Improper storage 、 Key (cryptography) 、 Simulation 、 Particle swarm optimization 、 Container (abstract data type) 、 Genetic algorithm
摘要: Storage allocation of outbound containers is a key factor the performance container handling system in automated terminals. Improper storage plans make QC waiting inevitable; hence, vessel time will be lengthened. A simulation-based optimization method proposed this paper for problem terminals (SAPOBA). simulation model built up by Timed-Colored-Petri-Net (TCPN), used to evaluate plans. Two approaches, based on Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), are form complete method. Effectiveness verified experiment, as comparison two approaches.
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