Abstract
Railway container yard is an important node in container transportation system, plays a very important role in the global logistics integration, improve the railway container freight yard handling equipment operation scheduling level, speed up the internal connection efficiency, reasonable co-ordination of container truck railway container freight yard handling equipment resources configuration can significantly improve the overall efficiency of railway container freight yard, reduce comprehensive operation cost. Study on railway container freight yard yard crane scheduling problem, the problem is to train a known time and external conditions of each container truck into time a container under the proposed “dig box coefficient” concept for decision making for yard crane storing containers, container sequence of the target position, work process, according to the problem, established the mathematical model, the design of multi stage genetic algorithm.
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The work described in this paper was supported by Grants from National Natural Science Foundation of China (nos. 71501190 and 71771218).
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Lei, D., Zhang, P., Zhang, Y. et al. Research on optimization of multi stage yard crane scheduling based on genetic algorithm. J Ambient Intell Human Comput 11, 483–494 (2020). https://doi.org/10.1007/s12652-018-0918-9
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DOI: https://doi.org/10.1007/s12652-018-0918-9