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14 February 2022 Researches on crane scheduling based on improved dragonfly algorithm considering customer satisfaction
Wen Q. Yang, Jian X. Su, Fu Q. Nie, Yu X. Nie, Xiao H. Kong, Yong F. Li, Zhi L. Yang, Liu F. Du, Jun P. Xu
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Proceedings Volume 12161, 4th International Conference on Informatics Engineering & Information Science (ICIEIS2021); 121610I (2022) https://doi.org/10.1117/12.2627231
Event: 4th International Conference on Informatics Engineering and Information Science, 2021, Tianjin, China
Abstract
Aimed at increasing the customer satisfaction of yard warehousing, a model of crane scheduling that is used to minimize the total level of disappointment of all customers is established, and resolved by an improved dragonfly algorithm (IDA) proposed, which overcomes the premature convergence and slow convergent speed of standard dragonfly algorithm by introducing Gaussian neighborhood radius and multiple mating operator. They can balance the global exploration and the local exploitation. Compared with other popular algorithms, simulation results demonstrate that IDA achieves high search efficiency and accuracy.
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Wen Q. Yang, Jian X. Su, Fu Q. Nie, Yu X. Nie, Xiao H. Kong, Yong F. Li, Zhi L. Yang, Liu F. Du, and Jun P. Xu "Researches on crane scheduling based on improved dragonfly algorithm considering customer satisfaction", Proc. SPIE 12161, 4th International Conference on Informatics Engineering & Information Science (ICIEIS2021), 121610I (14 February 2022); https://doi.org/10.1117/12.2627231
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KEYWORDS
Mathematical modeling
Optimization (mathematics)
Computer simulations
MATLAB
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