Cargo Terminal Intelligent-Scheduling Strategies Based on Improved Bee Colony Algorithms
نویسندگان
چکیده
Due to the rapid increase in cargoes and postal transport volumes smart transportation systems, an efficient automated multidimensional terminal with autonomous elevating transfer vehicles (ETVs) should be established, effective cooperative scheduling strategy for needs designed improving cargo handling efficiency. In this paper, as one of most artificial intelligence technologies, bee colony algorithm (ABC), which possesses a strong global optimization ability fewer parameters, is firstly introduced simultaneously manage ETVs assign corresponding entrances exits. Moreover, ABC has disadvantage slow convergence rate, novel full-dimensional search parallelization (PfdABC) random (RmdABC) are incorporated framework speed. After being evaluated on benchmark functions, it applied solve combinatorial problem multiple tasks exits terminal. The simulations show that proposed algorithms can achieve much more desired performance than traditional terms balancing exploitation exploration abilities, especially when dealing control problems.
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ژورنال
عنوان ژورنال: Applied sciences
سال: 2023
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app13158750