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    ARTICLE

    Exploring Hybrid Genetic Algorithm Based Large-Scale Logistics Distribution for BBG Supermarket

    Yizhi Liu1,2, Rutian Qing1,2,*, Liangran Wu1,2, Min Liu1,2, Zhuhua Liao1,2, Yijiang Zhao1,2

    Journal on Artificial Intelligence, Vol.3, No.1, pp. 33-43, 2021, DOI:10.32604/jai.2021.016565

    Abstract In the large-scale logistics distribution of single logistic center, the method based on traditional genetic algorithm is slow in evolution and easy to fall into the local optimal solution. Addressing at this issue, we propose a novel approach of exploring hybrid genetic algorithm based large-scale logistic distribution for BBG supermarket. We integrate greedy algorithm and hillclimbing algorithm into genetic algorithm. Greedy algorithm is applied to initialize the population, and then hill-climbing algorithm is used to optimize individuals in each generation after selection, crossover and mutation. Our approach is evaluated on the dataset of BBG Supermarket which is one of the… More >

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