AI Article Synopsis
- The paper addresses optimizing the sequence of tasks at air freight stations, focusing on scheduling the actions of elevating transfer vehicles (ETVs).
- It introduces a scheduling model that considers task picking sequences, collision-free ETV routing, and the assignment of input/output ports.
- An improved artificial bee colony (IMABC) algorithm is proposed to solve this complex scheduling issue, demonstrating better performance in generating optimal solutions compared to the original ABC and other algorithms.
Article Abstract
Aiming at improving the operating efficiency of air freight station, the problem of optimizing the sequence of inbound/outbound tasks meanwhile scheduling the actions of elevating transfer vehicles (ETVs) is discussed in this paper. First of all, the scheduling model in airport container storage area, which considers not only the influence of picking sequence, optimal ETVs routing without collision, but also the assignment of input and output ports, is established. Then artificial bee colony (ABC) is proposed to solve the above scheduling issue. For further balancing the abilities of exploration and exploitation, improved multi-dimensional search (IMABC) algorithm is proposed where more dimensions will be covered, and the best dimension of the current optimal solution is used to guide the evolutionary direction in the following exploitation processes. Numerical experiments show that the proposed method can generate optimal solution for the complex scheduling problem, and the proposed IMABC outperforms original ABC and other improved algorithms.
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| http://dx.doi.org/10.3934/mbe.2022607 | DOI Listing |
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