A hybrid parallel genetic algorithm for yard crane scheduling |
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| Authors: | Junliang He Daofang Chang Weijian Mi Wei Yan |
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| Institution: | aContainer Supply Chain Technology Engineering Research Center, Ministry of Education, Shanghai Maritime University, 1550 Pudong Avenue, Shanghai 200135, PR China;bSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200030, PR China;cSchool of Logistics Engineering, Shanghai Maritime University, Shanghai 200135, PR China |
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| Abstract: | This paper aims at postulating a novel strategy in terms of yard crane scheduling. In this study, a dynamic scheduling model using objective programming for yard cranes is initially developed based on rolling-horizon approach. To resolve the NP-complete problem regarding the yard crane scheduling, a hybrid algorithm, which employs heuristic rules and parallel genetic algorithm (PGA), is then employed. Then a simulation model is developed for evaluating this approach. Finally, numerical experiments on a specific container terminal yard are used for system illustration. Computational results suggest that the proposed method is able to solve the problem efficiently. |
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| Keywords: | Yard crane scheduling Objective programming Heuristic rules Parallel genetic algorithm Simulation model |
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