Feature-based Heuristic Algorithm for Solving CVRPTW

Student: Nikolaev Nikita

Faculty: Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod)

Educational Programme: Data Mining (Master)

Year of Graduation: 2019

The main idea of this work is to research the possibility of applying knowledge about the structure of a solution for the CVRPTW problem in the process of finding the most optimal set of routes. The study was inspired by the work (Arnold & Sörensen, What makes a VRP solution for?), where the authors conducted an analysis of the effectiveness of using information about some characteristics of the solution for the CVRP problem. It has been demonstrated on artificially generated dataset, that there is a possibility to distinguish more optimal solutions from less optimal ones with a rather high probability taking into account values of some structural properties of a solution. Based on this fact, a modification of the VNS algorithm was proposed, which tries to avoid a local optimum using information about the structure of the solution. Computational experiments on a dataset from (Solomon, 1987) showed that the proposed method is able to find solutions comparable with the best-known solutions in the literature.

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses