The meal delivery routing problem faced by the e-commerce platform is challenging. In order to reduce the logistics cost and meet the needs of customers, a multi-objective meal delivery routing problem is studied under the shared logistics services mode (SLSM). In the meal delivery problem, the third-party logistics providers need to arrange vehicles in the multi-depot to pick up meals from multiple food providers and deliver them to customers, so as to realize the sharing of logistics services between food providers and compare them with the traditional logistics service mode (TLSM). While realizing sharing, it is also necessary to meet customer time requirements as much as possible. In this case, a multi-objective mathematical model to minimize customer dissatisfaction and delivery cost is established, and the linear weighting method is employed to transform the model. An improved Ant Lion Optimizer (IALO) is proposed to solve the problem, and compared with other algorithms. The experiments verified the effectiveness of the proposed algorithm and show that SLSM can save logistics costs and meet customer needs more than TLSM, and provide certain reference opinions for the e-commerce platform.

中文翻译：

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共享物流模式下电商平台送餐路径问题

电商平台面临的送餐路径问题颇具挑战性。为了降低物流成本、满足顾客需求，研究了共享物流服务模式（SLSM）下的多目标送餐路径问题。在送餐问题中，第三方物流商需要在多站场安排车辆，从多个餐饮商处取餐并将其配送给顾客，从而实现餐饮商之间物流服务的共享并进行比较与传统的物流服务模式（TLSM）。在实现共享的同时，还要尽可能满足客户的时间要求。在这种情况下，建立了一个以最小化客户满意度和交付成本为目的的多目标数学模型，并采用线性加权方法对模型进行变换。提出了一种改进的蚁狮优化器(IALO)来解决该问题，并与其他算法进行了比较。实验验证了所提算法的有效性，表明SLSM比TLSM更能节省物流成本、满足客户需求，为电商平台提供一定的参考意见。