Optimizing Air Cargo Delivery Routes with a Modified Artificial Bee Colony

Airplanes serve as the primary means of transporting valuable and urgent items. Minimizing the costs associated with shipping, transshipment, and airport operational expenses, network design and air cargo delivery routes should be planned. Determining the minimum-cost air cargo delivery scheme necessitates basing the delivery routes on airport network connections. A MATLAB-based mixed integer linear programming model for six Indonesian airports’ air cargo flight route selection was resolved using Artificial Bee Colony (ABC), Modified ABC, and metaheuristic methods after implementation with the cplexmilp function. In numerical simulations, cplexmilp had the smallest objective value compared to ABC and Modified ABC, with decreases of 10.41% and 3.23%. 6.96% is the difference between the minimum objective values obtained using the Modified ABC and ABC algorithms. The Modified ABC algorithm outperforms the ABC algorithm in minimizing air cargo shipping costs.