Hyeonbin Jeong1, Young Tae Ryu2, Byung Duk Song1,*, Sang-Duck Lee3,*
CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.3, pp. 2739-2769, 2025, DOI:10.32604/cmes.2025.061639
- 03 March 2025
Abstract This paper proposes a novel cargo loading algorithm applicable to automated conveyor-type loading systems. The algorithm offers improvements in computational efficiency and robustness by utilizing the concept of discrete derivatives and introducing logistics-related constraints. Optional consideration of the rotation of the cargoes was made to further enhance the optimality of the solutions, if possible to be physically implemented. Evaluation metrics were developed for accurate evaluation and enhancement of the algorithm’s ability to efficiently utilize the loading space and provide a high level of dynamic stability. Experimental results demonstrate the extensive robustness of the proposed algorithm More >
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