| Abstrakt: |
In this research, the authors address the Green Capacitated Vehicle Routing Problem (GCVRP), which is a variant of the Vehicle Routing Problem that considers the environmental impact of transportation. The goal of the GCVRP is to minimize the emission of pollutants, particularly CO2, by considering factors such as fuel consumption, load to be delivered, distance traveled, and vehicle capacity. The authors use CORONA Virus Optimization algorithm and compare results with local search to solve the problem and consider the use of assignment probabilities as continuous variables. In this research, the authors address the Green Capacitated Vehicle Routing Problem (GCVRP), which is a variant of the Vehicle Routing Problem that takes into account the environmental impact of transportation. The goal of the GCVRP is to minimize the emission of pollutants, particularly CO2, by considering factors such as fuel consumption, load to be delivered, distance traveled, and vehicle capacity. The authors use metaheuristics, specifically local search and particle swarm optimization, to solve the problem and consider the use of assignment probabilities as continuous variables. [ABSTRACT FROM AUTHOR] |
