Open AccessVehicle routing problem with simulated annealing using python programming
Author(s) -
Rio Aurachman,
Dominggo Bayu Baskara,
J Habibie
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1010/1/012010
Subject(s) - python (programming language) , computer science , programming language , simulated annealing , vehicle routing problem , linear programming , mathematical optimization , algorithm , mathematics , routing (electronic design automation) , embedded system
Vehicle Routing Problems (VRP) are a type of linear programming problem. This paper tries to explain the completion of VRP using Python Programming with the Simulated Annealing algorithm. Python Programming is used as a tool by utilizing the wealth of packages in python. Python is a popular programming language. Python is easy to learn for beginners. However, there is still no example and guide for solving VRP using simulated annealing in python programming with a process paradigm. This design can be a reference and guide for beginners in dealing with similar problems or the development of existing problems.