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In this section, the performances of the proposed QUSOL-FD is evaluated and compared with one of state-of-the-art works, MIP-MDRP [7]. The simulation and experimental evaluations are carried out in Python on a real world data set [5]. The data set contains real world historic experiences of food delivery services and are used in recent works on online food delivery system design including [6]. We consider an area of 15000 x 15000 m2 where the location of restaurants, orders and workers are randomly distributed. The orders, vehicles and restaurants information are extracted from each instance of the dataset. The number of restaurants are kept in 50 and the number of orders, vehicles are varied in 100 500, and 5 30, respectively. Then, 20% of the total orders are selected based on the fact that the distance between the restaurant node and the customer node is between 3 to 10 km. All simulation experiments were conducted on a PC with an Intel Core i7 Processor and 16 GB memory running Ubuntu 20.04.
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IEEE/ICACT20230132 Slide.11
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