Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
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This paper discusses the problem of scheduling quay cranes, the most important equipment in port terminals. A simulation model is developed for evaluating time of quay cranes. Then a dynamic scheduling model using objective programming for quay cranes is developed based on genetic algorithm approach. Finally, numerical experiments on a specific container terminal are made for propose approach. Computational results suggest that the proposed method is able to solve the problem efficiently.