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EBBO: an enhanced biogeography-based optimization algorithm for a vehicle routing problem with heterogeneous fleet, mixed backhauls, and time windows

机译:EBBO:基于生物地理的增强型优化算法,用于具有异构车队,混合回程和时间窗的车辆路径问题

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摘要

This paper presents a new enhanced biogeography-based optimization algorithm (EBBO) for a complex variant of vehicle routing problem (VRP) called HVRPMBTW (vehicle routing problem with heterogeneous fleet, mixed backhauls, and time windows). This variant is characterized by a limited number of vehicles with various capacities and costs. The vehicles serves two types of customers: linehaul customers and backhaul customers. Each customer must be visited in a specific interval of time. We propose to improve and to adapt the biogeography-based optimization (BBO) approach to the problem by integrating simulated annealing algorithm to enhance solution quality, at each iteration. This new approach was tested on benchmarks and produces very satisfactory results compared to other approaches, PSO and ACO [1].
机译:本文针对被称为HVRPMBTW(具有异类车队,混合回程和时间窗的车辆路径问题)的车辆路径问题(VRP)的复杂变体,提出了一种新的基于增强型生物地理的优化算法(EBBO)。该变型的特征在于具有各种容量和成本的有限数量的车辆。这些车辆可为两种类型的客户提供服务:线路客户和回程客户。必须在特定的时间间隔内拜访每个客户。我们建议通过在每次迭代中集成模拟退火算法来提高解决方案质量,来改进和适应基于生物地理的优化(BBO)方法。与其他方法PSO和ACO相比,该新方法已经在基准测试中得到了令人满意的结果[1]。

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