Synergy between Variable Neighborhood Search and Machine Learning

in Special Issue   Posted on June 3, 2020 

Information for the Special Issue

Submission Deadline: Mon 01 Jun 2020
Journal Impact Factor : 1.502
Journal Name : Optimization Letters
Journal Publisher:
Website for the Special Issue:
Journal & Submission Website:

Special Issue Call for Papers:

The Variable Neighborhood Search (VNS) metaheuristic is based on systematic changes in the neighborhood structure within a search, and has been successfully applied for solving various combinatorial, global optimization problems, and related tasks.

A special issue of Optimization Letters (I.F.: 1.399, SJR: 0.779) will be edited after the 7th International Conference on Variable Neighborhood Search (ICVNS 2019), which was recently held in Rabat, Morocco, October 3-5, 2019. Although this special issue is linked to the ICVNS 2019 conference, this Call for Papers is open to the entire community of academics and practitioners. This call is about innovative research on theoretical, methodological or applied aspects of VNS with particular emphasis on contributions combining Variable Neighborhood Search and Machine Learning. The objective of this special issue is to highlight the powerful aspect of this combination in solving complex optimization problem.

Manuscripts should be prepared using Springer’s LaTeX macro package and submitted through the journal’s editorial manager Each paper will be peer-reviewed according to the editorial policy of Optimization Letters. Papers should be original, unpublished, and not currently under consideration for publication elsewhere.

The paper submission deadline is June 1, 2020. 

Please, select “S.I: ICVNS2019” for the article type when submitting your contribution. All papers will go through a regular peer review process.

Guest Editors

For all information in one page kindly download the PDF below: 

JOCO – Call for Papers – Special Issue ICVNS 2019 (pdf, 89.72 kB)

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