Completion of FCVRP Using Hybrid Particle Swarm Optimization Algorithm

The issue of green logistics has received full attention from the government and business people. It is closely related to the increase in Green House Gas (GHG) by transportation activities in the logistics sector. Controlling fuel consumption in transportation activities is fundamental in dealing with GHG. Therefore, the Fuel Consumption Vehicle Routing Problem (FCVRP) is proposed as a solution model in optimizing fuel consumption in the logistics sector. This study aims to develop a Hybrid Particle Swarm Optimization (HPSO) algorithm to solve the FCVRP problem. The proposed algorithm is the development of the PSO algorithm with local procedures search. Several experiments were carried out to determine the HPSO parameter's effect on the minimization of fuel consumption at issue in the FCVRP. The results of the experiment show that HPSO is effective for optimizing fuel consumption in the FCVRP study.

Abstract licence: CC BY-SA

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