Adaptive inertia weight particle swarm optimisation for a multi-objective capacitated vehicle routing problem with time window in air freight forwarding
by Hop Van Nguyen; Phan Phi Phung
International Journal of Logistics Systems and Management (IJLSM), Vol. 40, No. 3, 2021

Abstract: Capacitated vehicle routing problem with time window (CVRPTW) is a critical issue in forwarding business. In this problem, normal cargoes (excluding freeze and hazardous goods) are normally consolidated before shipping to customer sites. Two objectives of delivery lead-time and total shipping cost are considered subject to vehicle capacity and time windows constraints. The fuzzy-compromise programming approach is utilised to handle the multi-objective model. Then, a so-called adaptive inertia weight particle swarm optimisation (AIWPSO) algorithm is applied to handle the cases of large number of delivered customers. In this work, a real case of a leading forwarding company in Vietnam is investigated to validate the proposed solution.

Online publication date: Thu, 13-Jan-2022

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