Comparison of linear optimization and particle swarmoptimization for transportation routes

In the transportation of passengers and freight, almost every country benefits from sea transportation according to the geographical location of the country besides railway and road transportation. The general approach in recent years is to take care of transportation as a whole and to make use of every mode of transportation in the same transportation in the most efficient way. This provides an advantage in many aspects, from transportation costs to total transportation time reduction. In this study, 18 cities and 3 and 4 cities selected among them are calculated with various types of transportation, distance, time and unit cost values. In this study, Linear Optimization and Particle Swarm Optimization (PSO) method is used. As a result of the analysis with Linear Optimization, the values obtained for 3 cities; The distance is calculated as 1560 km, the time is 36.97 hours and the unit cost is 116.21 TL. Values obtained for 4 cities; The distance is calculated as 1572 km, the duration is 37,75 hours and the unit cost is 125,37 TL. The values obtained for 18 cities are; the distance is calculated as 3282 km, the period of 71,65 hours and the unit cost is 394,62 TL. As a result of the analysis for the PSO, the values obtained for 3 cities; The distance is calculated as 1560 km, the time is 36.97 hours and the unit cost is 116.21 TL. Values obtained for 4 cities; The distance is calculated as 1572 km, the time is 37,75 hours and the unit cost is 125,37 TL. The values obtained for 18 cities are; the distance is calculated as 3295 km, the duration is 71,65 hours and the unit cost is 394,62 TL. Compared to Linear Optimization and PSO methods; it is seen that the distance between 18 cities is better for Linear Optimization and the other values are the same.