PLoS ONE · 2017 · 12 citations · 15 references
ManagementIndustrial EngineeringOperations ManagementDesign OptimizationOptimizationSchedulingBranch And BoundCombinatorial OptimizationGenetic AlgorithmsHeuristic OptimizationSchedule OptimizationScheduling OptimizationContainer Resource OptimizationCranesGenetic Algorithm OptimizationLagrangian RelaxationQuay Crane PlanningQuay Crane SchedulingShip Handling
Double cycling is an efficient tool to increase the efficiency of quay crane (QC) in container terminals. In this paper, an optimization model for double cycling is developed to optimize the operation sequence of multiple QCs. The objective is to minimize the makespan of the ship handling operation considering the ship balance constraint. To solve the model, an algorithm based on Lagrangian relaxation is designed. Finally, we compare the efficiency of the Lagrangian relaxation based heuristic with the branch-and-bound method and a genetic algorithm using instances of different sizes. The results of numerical experiments indicate that the proposed model can effectively reduce the unloading and loading times of QCs. The effects of the ship balance constraint are more notable when the number of QCs is high.
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Genetic algorithms in search, optimization, and machine learning
Choice Reviews Online · 1989 · 49.3K citations
The Traveling-Salesman Problem and Minimum Spanning Trees
Michael Held, Richard M. Karp · Operations Research · 1970 · 1.4K citations