About this journal
Aims and scope
publishes refereed papers on the latest developments in the theory and realization of optimization methods, with particular emphasis on the interface between software development and algorithm design.
Topics include:
- Theory, implementation and performance evaluation of algorithms and computer codes for linear, nonlinear, discrete, stochastic optimization and optimal control. This includes in particular conic, semi-definite, mixed integer, network, non-smooth, multi-objective and global optimization by deterministic or nondeterministic algorithms.
- Algorithms and software for complementarity, variational inequalities and equilibrium problems, and also for solving inverse problems, systems of nonlinear equations and the numerical study of parameter dependent operators.
- Various aspects of efficient and user-friendly implementations: e.g. automatic differentiation, massively parallel optimization, distributed computing, on-line algorithms, error sensitivity and validity analysis, problem scaling, stopping criteria and symbolic numeric interfaces.
- Theoretical studies with clear potential for applications and successful applications of specially adapted optimization methods and software to fields like engineering, machine learning, data mining, economics, finance, biology, or medicine. These submissions should not consist solely of the straightforward use of standard optimization techniques.
Peer Review Policy
All submitted manuscripts are subject to initial appraisal by the Editor. If found suitable for further consideration, papers are subject to peer review by independent, anonymous expert referees. All peer review is single anonymized and submissions can be made online at http://mc.manuscriptcentral.com/goms.
Publishing Ethics
The Journal adheres to the highest standards of publishing ethics, with rigorous processes in place to ensure this is achieved. Taylor & Francis is a member of Committee of Publications Ethics (COPE) and utilises CrossCheck for all Journals. More information on our ethical standards and policies can be found here: http://authorservices.taylorandfrancis.com/ethics-for-authors/
The Journal has an appeals and complaints policy which can be viewed here: https://authorservices.taylorandfrancis.com/peer-review-appeals-and-complaints-from-authors/.
Journal metrics
Usage
- 53K annual downloads/views
Citation metrics
- 1.4 (2023) Impact Factor
- Q2 Impact Factor Best Quartile
- 1.7 (2023) 5 year IF
- 4.5 (2023) CiteScore (Scopus)
- Q1 CiteScore Best Quartile
- 1.397 (2023) SNIP
- 1.001 (2023) SJR
Speed/acceptance
- 4 days avg. from submission to first decision
- 149 days avg. from submission to first post-review decision
- 33 days avg. from acceptance to online publication
- 20% acceptance rate
Understanding and using journal metrics
Journal metrics can be a useful tool for readers, as well as for authors who are deciding where to submit their next manuscript for publication. However, any one metric only tells a part of the story of a journal’s quality and impact. Each metric has its limitations which means that it should never be considered in isolation, and metrics should be used to support and not replace qualitative review.
We strongly recommend that you always use a number of metrics, alongside other qualitative factors such as a journal’s aims & scope, its readership, and a review of past content published in the journal. In addition, a single article should always be assessed on its own merits and never based on the metrics of the journal it was published in.
For more details, please read the Author Services guide to understanding journal metrics.
Journal metrics in brief
Usage and acceptance rate data above are for the last full calendar year and are updated annually in February. Speed data is updated every six months, based on the prior six months. Citation metrics are updated annually mid-year. Please note that some journals do not display all of the following metrics (find out why).
- Usage: the total number of times articles in the journal were viewed by users of Taylor & Francis Online in the previous calendar year, rounded to the nearest thousand.
Citation Metrics
- Impact Factor*: the average number of citations received by articles published in the journal within a two-year window. Only journals in the Clarivate Science Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI), Arts and Humanities Citation Index (AHCI) and the Emerging Sources Citation Index (ESCI) have an Impact Factor.
- Impact Factor Best Quartile*: the journal’s highest subject category ranking in the Journal Citation Reports. Q1 = 25% of journals with the highest Impact Factors.
- 5 Year Impact Factor*: the average number of citations received by articles in the journal within a five-year window.
- CiteScore (Scopus)†: the average number of citations received by articles in the journal over a four-year period.
- CiteScore Best Quartile†: the journal’s highest CiteScore ranking in a Scopus subject category. Q1 = 25% of journals with the highest CiteScores.
- SNIP (Source Normalized Impact per Paper): the number of citations per paper in the journal, divided by citation potential in the field.
- SJR (Scimago Journal Rank): Average number of (weighted) citations in one year, divided by the number of articles published in the journal in the previous three years.
Speed/acceptance
- From submission to first decision: the average (median) number of days for a manuscript submitted to the journal to receive a first decision. Based on manuscripts receiving a first decision in the last six months.
- From submission to first post-review decision: the average (median) number of days for a manuscript submitted to the journal to receive a first decision if it is sent out for peer review. Based on manuscripts receiving a post-review first decision in the last six months.
- From acceptance to online publication: the average (median) number of days from acceptance of a manuscript to online publication of the Version of Record. Based on articles published in the last six months.
- Acceptance rate: articles accepted for publication by the journal in the previous calendar year as percentage of all papers receiving a final decision.
For more details on the data above, please read the Author Services guide to understanding journal metrics.
*Copyright: Journal Citation Reports®, Clarivate Analytics
†Copyright: CiteScore™, Scopus
Editorial board
Editor-in-Chief:
Stefan Ulbrich
Technische Universitaet Darmstadt
Fachbereich Mathematik, AG10
Schlossgartenstr. 7
64289 Darmstadt
Germany
Email: [email protected]
Senior Editors:
Mihai Anitescu
Mathematics and Computer Science
Argonne National Laboratory
9700 South Cass Avenue
Argonne
IL 60439-4844
USA
Email: [email protected]
Mirjam Dür
Department of Mathematics
University of Augsburg
86135 Augsburg
Germany
Email: [email protected]
Karl Kunisch
University of Graz
Universitätspl. 3, 8010 Graz,
Austria
Email: [email protected]
Florian A. Potra
Department of Mathematics and Statistics
University of Maryland
Baltimore
MD 21250
USA
Email: [email protected]
Takashi Tsuchiya
7-22-1 Roppongi Minato-ku
National Graduate Research Institute for Policy Studies
Tokyo 106-8677
Japan
Email: [email protected]
Book Review Editor:
Panos M. Pardalos
Center for Applied Optimization and ISE Department
University of Florida
Gainesville
FL 32611-6595
U.S.A.
Email: [email protected]
Editorial Board:
Mehiddin Al-Baali - Sultan Qaboos University, Muscat, Sultanate of Oman
Miguel F. Anjos - University of Edinburgh, UK
Radu Ioan Bot - University of Vienna, Austria
Coralia Cartis - University of Oxford, UK
Xiaojun Chen - The Hong Kong Polytechnic University, China
Claudia D'Ambrosio - Ecole Polytechnique, Palaiseau, France
Mirjam Dür - University of Augsburg, Germany
Ana Luísa Custódio - Universidade Nova de Lisboa, Portugal
Michael C. Ferris - University of Wisconsin, Madison, USA
Masao Fukushima - Nanzan University, Seto, Japan
Jacek Gondzio - University of Edinburgh, UK
Serge Gratton - ENSEEIHT-IRIT, Toulouse, France
Francesca Guerriero - University of Calabria, Rende, Italy
Roland Herzog - Chemnitz University of Technology, Germany
Michael Hintermüller - Weierstrass Institute, Berlin, Germany
Fatma Kilinc-Karzan - University of Wisconsin-Madison, Madison, USA
Michal Kocvara - University of Birmingham, UK
Koch Thorsten - Konrad-Zuse-Zentrum für Informationstechnik
Zhouchen Lin - Peking University, China
José Mário Martinez - University of Campinas, Brazil
Angelia Nedich - Arizona State University, USA
Yurii E. Nesterov - Université Catholique de Louvain, Belgium
Dominique Orban - Ecole Polytechnique, Montreal, Canada
Alex Pothen - Purdue University, USA
Liqun Qi - The Hong Kong Polytechnic University, China
Peter Richtárik - King Abdullah University of Science and Technology, Kingdom of Saudi Arabia
Daniel Robinson - Lehigh University, Bethlehem, USA
Marco Sciandrone - University of Florence, Italy
Fabio Schoen - University of Florence, Italy
Anthony Man-Cho So - The Chinese University of Hong Kong, China
Mikhail V. Solodov - Instituto de Matematica Pura e Aplicada, Rio de Janeiro, Brazil
Jie Sun - Curtin University, Australia and National University of Singapore, Singapore
Tamas Terlaky - Lehigh University, Bethlehem, USA
Philippe Toint - University of Namur, Belgium
Robert Vanderbei - Princeton University, USA
Andrea Walther - Humboldt-Universitaet zu Berlin, Germany
E. Alper Yildirim - University of Edinburgh, UK
Ya-xiang Yuan - Chinese Academy of Sciences, Beijing
Honorary Founding Editor:
Yurij Evtushenko - Russian Academy of Sciences, Moscow, Russia
Updated 12-10-2023
Abstracting and indexing
Optimization, Methods and Software is currently abstracted/indexed in:
ACM Guide to Computing Literature
Australian Research Council ERA list 2015
Baidu Scholar
British Library Inside
Clarivate Analytics: Science Citation Index Expanded™
CNKI Scholar
CNPIEC
CnpLINKer
Danish Bibliometric Research Indicator (BFI)
DBLP - Computer Science Bibliography
DTU Findit
E-lib Breman
EBSCO Databases
Ei Compendex®
Electronic Journals Library (EZB)
Finnish Publication Forum (Julkaisufoorumi)
Genamics JournalSeek
Google Scholar
INSPEC®
International Abstracts in Operations Research
JournalTOCs
MathSciNet
Microsoft Academic
Naver Academic
New Jour
NHN
Norwegian Register of Scientific Journals and Publishers
Portico
ProQuest Computer and Information Systems Abstracts
ProQuest Technology Collection
Publons
SciBase
Scopus™ - click here for current CiteScore
Ulrich's Periodicals Directory
Web of Science
WorldCat Local (OCLC)
zbMath
Zetoc
Open access
Optimization Methods and Software is a hybrid open access journal that is part of our Open Select publishing program, giving you the option to publish open access. Publishing open access means that your article will be free to access online immediately on publication, increasing the visibility, readership, and impact of your research.
Why choose open access?
- Increase the discoverability and readership of your article
- Make an impact and reach new readers, not just those with easy access to a research library
- Freely share your work with anyone, anywhere
- Comply with funding mandates and meet the requirements of your institution, employer or funder
- Rigorous peer review for every open access article
Article Publishing Charges (APC)
If you choose to publish open access in this journal you may be asked to pay an Article Publishing Charge (APC). You may be able to publish your article at no cost to yourself or with a reduced APC if your institution or research funder has an open access agreement or membership with Taylor & Francis.
Use our APC finder to calculate your article publishing charge
News, offers and calls for papers
News and offers
Calls for papers
Society information
Members of the following groups can receive an individual online-only subscription to Optimization Methods and Software at a special society member rate. Please see the pricing or subscribe page for details.
- American Mathematical Society (AMS)
- EUROPT
- Institute for Operations Research and the Management Sciences (INFORMS)
- Mathematical Programming Society (MPS)
- Pacific Optimization Research Activity Group (POP)
- Society for Industrial and Applied Mathematics (SIAM)
- Operational Research Society of Singapore (ORSS)
6 issues per year
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