What is it about?
We introduce a new variant of the Vehicle Routing Problem (VRP) so-called heterogeneous vehicle routing problem with asymmetric distance and fuzzy demand (HVRPADFD). Further, this study also proposes an improved version of the Genetic Algorithm (GA) where there is no need for exhaustive parameter tuning. The case study is also given from liquid fertilizer distribution in Indramayu, Indonesia.
Featured Image
Why is it important?
This is a practical problem where most distribution problem consists of multiple vehicles and different capacities, the distance between cities is not symmetry, and the demand is uncertain.
Perspectives
It is insightful for people working in supply chain areas. The paper is not hard to understand with less mathematical explanation.
Zakka Ugih Rizqi
National Taiwan University of Science and Technology
Read the Original
This page is a summary of: Applying adaptive genetic algorithm for heterogeneous vehicle routing problem with asymmetric distance and fuzzy demand (HVRPADFD), January 2023, American Institute of Physics,
DOI: 10.1063/5.0164248.
You can read the full text:
Contributors
The following have contributed to this page
