Call for Papers - Journals
EURO Special Issue in Optimization
Deadline: 15 January 2016
Optimization: A Journal of Mathematical Programming and Operations Research Special Issue: Making an Impact with Optimization
On the occasion of the 27th European Conference on Operational Research, EURO XXVII, which took place on July 12-15, 2015, in Glasgow, the journal Optimization invites you to submit high quality original research papers to a special issue on Optimization models and techniques for making an impact, corresponding to a major theme of EURO XXVII.
The special issue focuses primarily on papers developing new optimization models, modeling features and/or solution techniques that were driven by the need of a particular application, as well as showing the impact these models and algorithms had for the application.
Techniques can be drawn from all areas of optimization, including:
- linear programming
- semidefinite and conic programming
- semi-infinite programming
- stochastic programming
- global optimization
- nonlinear and nonsmooth optimization
- multiobjective optimization
- robust optimization
- integer and mixed-integer programming
- mixed-integer non-linear programming
- game theory
- dynamic optimization and stochastic control
In order to publish in Optimization, a strong theoretical contribution of the submitted paper is required.
Optimization is abstracted and indexed in the following databases: Astrophysics Data System, SciBase, British Library Inside, Cambridge Scientific Abstracts, EBSCO Databases, ISI Current Contents, Physical, Chemical and Earth Sciences, Mathematical Reviews/MathSciNet, New Jour, Science Citation Index Expanded, Zentralblatt MATH/Mathematics Abstracts and Zetoc.
Guest Editors: Dr. Kerem Akartunali, Dr. Marco Laumanns, Prof. Dr. Gerhard-Wilhelm Weber
Submission deadline of full papers: January 15, 2016.
Participants of EURO XXVII are cordially invited to submit high quality original research papers. Please note that only contributions of registered participants can be accepted. The format of manuscripts for Optimization as well as guidelines and templates can be found on the journal's webpage. Each manuscript has to be submitted via the online submission system: http://mc.manuscriptcentral.com/gopt. Detailed instructions are provided during the submission process.
During the submission process authors have to answer the question 'Is the manuscript a candidate for a special issue?' Please tick 'yes' and select EURO 2015 from the list.
Please check the following page for call details and updates: http://explore.tandfonline.com/cfp/est/gopt-special-issue-making-an-impact-with-optimization
EURO Journal on Computational Optimization (EJCO)
Deadline for submission: January 15, 2016
Special Issue: Computational Advances in Locational Analysis
Guest Editors: Boglárka G.-Tóth, Justo Puerto, Francisco Saldanha da Gama
This special issue intends to gather the scientific community working in Locational Analysis (LA). We aim at collecting new modeling approaches and solution algorithms. We are looking forward to new, original research with computational methods for practical applications. The focus of submitted papers should be on the derivation of new optimization models, their implementation, and computational experiments with realistic datasets.
We invite papers from all areas related to computational location theory including (but not limited to):
- Marketing related problems;
- Competitive Location;
- Obnoxious Location;
- Hub Location;
- Location-routing and location-arc routing;
- Advanced Location Models;
- Location Applications (e.g., logistics network design, etc.).
Articles investigating continuous, discrete or network location problems are all welcome. Solution methods may be either exact or approximate. This feature issue will be a privileged outlet for the contributions presented at EWGLA XXII (the 22nd meeting of the EURO Working Group on Location Analysis, held in Budapest, May 20-22, 2015), but not limited to them.
Following the high standards of the EURO Journal on Computational Optimization, we expect high quality contributions that will undergo the strict reviewing process of the journal.
In order to submit a paper for this special issue,
- Log on the editorial manager of the journal using the <Author Login> via the website https://www.editorialmanager.com/ejco/
- Select <Submit New Manuscript> in the main menu.
- In the drop down list associated with <Choose Article Type>, select the desired special issue (“SI: Locational Analysis”). Note that all entries corresponding to the special issues start with SI.
Mathematical Programming B on Optimization Models and Algorithms for Data Science
Deadline for submission of full papers: December 1, 2015.
We aim at completing a first review of all submissions by May 15, 2016.
Data and decisions are more strongly linked in the information age than ever before. This special issue focuses on modelling and optimization approaches that deal with large data sets, as well as applications from business analytics and machine learning that have emerged in the last decades as data accumulates from multiple sources such as internet traffic, social and sensor networks.
Successful submissions to this call are expected to provide a substantial methodological contribution to
- data-related modelling issues in optimization, such as tractable reformulations of problems involving uncertain data (e.g. using stochastic, robust or data-driven optimization techniques); or
- numerical solution schemes for optimization problems involving large data sets, such as solution approaches for large, sparse optimization problems or real-time optimization methods.
Authors should submit their papers via http://www.editorialmanager.com/mapr/ and select article type "S.I.: Data Science — Series B" for consideration in this special issue.
Papers will be refereed according to the standards of Mathematical Programming, Series A. We are requesting that all papers be submitted using MP style files, and conform to a maximum of 25 pages. The necessary LaTeX files can be downloaded at www.eng.cam.ac.uk/~dr241/MPB/MPB- Springer-latex-style-files.zip.