Routing straddle carriers for the loading operation of containers using a beam search algorithm
Computers and Industrial Engineering
Rubber tired gantry crane deployment for container yard operation
Computers and Industrial Engineering
Simulation optimization: simulation optimization
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Simulation-based optimization: practical introduction to simulation optimization
Proceedings of the 35th conference on Winter simulation: driving innovation
Minimum Vehicle Fleet Size Under Time-Window Constraints at a Container Terminal
Transportation Science
Integrating simulation and optimization to schedule a hybrid flow shop with maintenance constraints
Computers and Industrial Engineering
A simulation based hybrid algorithm for yard crane dispatching in container terminals
Winter Simulation Conference
Dynamic yard crane dispatching in container terminals with predicted vehicle arrival information
Advanced Engineering Informatics
The simulation-based multi-objective evolutionary optimization (SIMEON) framework (Work-in-Progress)
Proceedings of the 2011 Symposium on Theory of Modeling & Simulation: DEVS Integrative M&S Symposium
MicroPort: A general simulation platform for seaport container terminals
Advanced Engineering Informatics
Mathematics and Computers in Simulation
An emulation platform for intelligent scheduling algorithm in automated container terminal
SCSC '09 Proceedings of the 2009 Summer Computer Simulation Conference
Tugboat scheduling problem based on trust-based ant colony optimization
ICICA'12 Proceedings of the Third international conference on Information Computing and Applications
Embedding simulation in yard crane dispatching to minimize job tardiness in container terminals
Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
PSO with path relinking for resource allocation using simulation optimization
Computers and Industrial Engineering
Hybrid evolutionary computation methods for quay crane scheduling problems
Computers and Operations Research
Reducing simulation costs of embedded simulation in yard crane dispatching in container terminals
Proceedings of the 2013 ACM SIGSIM conference on Principles of advanced discrete simulation
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In this paper, a simulation optimization method for scheduling loading operations in container terminals is developed. The method integrates the intelligent decision mechanism of optimization algorithm and evaluation function of simulation model, its procedures are: initializing container sequence according to certain dispatching rule, then improving the sequence through genetic algorithm, using simulation model to evaluate objective function of a given scheduling scheme. Meanwhile, a surrogate model based on neural network is designed to predict objective function and filter out potentially bad solutions, thus to decrease the times of running simulation model. Numerical tests show that simulation optimization method can solve the scheduling problem of container terminals efficiently. And the surrogate model can improve the computation efficiency of simulation optimization.