• 更多栏目

    王旭坪

    • 教授     博士生导师   硕士生导师
    • 主要任职:Deputy Dean,School of Business,Dalian University of Technology
    • 性别:男
    • 毕业院校:大连理工大学
    • 学位:博士
    • 所在单位:系统工程研究所
    • 学科:管理科学与工程
    • 电子邮箱:wxp@dlut.edu.cn

    访问量:

    开通时间:..

    最后更新时间:..

    An Effective Order-Aware Hybrid Genetic Algorithm for Capacitated Vehicle Routing Problems in Internet of Things

    点击次数:

    论文类型:期刊论文

    发表时间:2019-01-01

    发表刊物:IEEE ACCESS

    收录刊物:SCIE、EI

    卷号:7

    页面范围:86102-86114

    ISSN号:2169-3536

    关键字:Internet of Things; capacitated vehicle routing problem; order-aware hybrid genetic algorithm; sweep algorithm; neighborhood search heuristics

    摘要:The Internet of Things integrates lots of capacitated vehicles in smart logistics. The routing for capacitated vehicles is a combinatorial optimization problem which has been widely studied in recent years. This paper proposes an effective order-aware hybrid genetic algorithm for the capacitated vehicle routing problem in the Internet of Things. The method is characterized by an improved initialization strategy and a problem-specific crossover operator. The former combines the sweep algorithm with randomness to harmonize the contradiction between diversity and convergence, while the latter integrates neighborhood search heuristics to find the offspring with the best fitness and check constraints simultaneously. A large number of simulations have been carried out, and the results validated the effectiveness of our algorithm.