Experiment for IVNS to solve Integrated Scheduling of Additive Manufacturing and Multi-Trip Vehicle Routing Problem

Published: 26 January 2024| Version 2 | DOI: 10.17632/tf3g3596rt.2
Contributors:
Willy Chandra Sugianto,

Description

This is the data consisting of instances used in the experiment on the research of Iterated Variable Neighborhood Search for integrated scheduling of additive manufacturing and multi-trip vehicle routing problem. The data is used to test the performance of the aforementioned algorithm to solve the aforementioned problem. The experiment instances are classified into small-scale problems and large-scale problems, which are differentiated by the size of the fixed problem parameters when generating the instances. In addition, the instances used for the sensitivity analysis experiment are also included. The number in the instance file name indicates the instance sequence with respect to the table result presented in the aforementioned research. The instances data are generated stochastically inspired by the real data of the aviation industry with a slight adjustment using Python Programming Language.

Files

Institutions

Incheon National University

Categories

Algorithms

Funding

Ministry of Science, ICT and Future Planning

NRF-2022R1F1A1068304

Licence