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Volume 49 (2024): Issue 1 (February 2024)

Volume 48 (2023): Issue 4 (December 2023)

Volume 48 (2023): Issue 3 (September 2023)

Volume 48 (2023): Issue 2 (June 2023)

Volume 48 (2023): Issue 1 (March 2023)

Volume 47 (2022): Issue 4 (December 2022)<br/>Special issue: “Recent advances on supply chain network design”

Volume 47 (2022): Issue 3 (September 2022)

Volume 47 (2022): Issue 2 (June 2022)

Volume 47 (2022): Issue 1 (February 2022)

Volume 46 (2021): Issue 4 (December 2021)

Volume 46 (2021): Issue 3 (September 2021)

Volume 46 (2021): Issue 2 (June 2021)

Volume 46 (2021): Issue 1 (March 2021)

Volume 45 (2020): Issue 4 (December 2020)

Volume 45 (2020): Issue 3 (September 2020)

Volume 45 (2020): Issue 2 (June 2020)

Volume 45 (2020): Issue 1 (March 2020)

Volume 44 (2019): Issue 4 (December 2019)

Volume 44 (2019): Issue 3 (September 2019)

Volume 44 (2019): Issue 2 (June 2019)

Volume 44 (2019): Issue 1 (March 2019)

Volume 43 (2018): Issue 4 (December 2018)

Volume 43 (2018): Issue 3 (September 2018)

Volume 43 (2018): Issue 2 (June 2018)

Volume 43 (2018): Issue 1 (March 2018)

Volume 42 (2017): Issue 4 (December 2017)

Volume 42 (2017): Issue 3 (September 2017)

Volume 42 (2017): Issue 2 (June 2017)

Volume 42 (2017): Issue 1 (February 2017)

Volume 41 (2016): Issue 4 (November 2016)

Volume 41 (2016): Issue 3 (September 2016)

Volume 41 (2016): Issue 2 (June 2016)

Volume 41 (2016): Issue 1 (March 2016)

Volume 40 (2015): Issue 4 (December 2015)

Volume 40 (2015): Issue 3 (September 2015)

Volume 40 (2015): Issue 2 (June 2015)

Volume 40 (2015): Issue 1 (March 2015)

Volume 39 (2014): Issue 4 (December 2014)

Volume 39 (2014): Issue 3 (September 2014)

Volume 39 (2014): Issue 2 (June 2014)

Volume 39 (2014): Issue 1 (February 2014)

Volume 38 (2013): Issue 4 (December 2013)

Volume 38 (2013): Issue 3 (September 2013)

Volume 38 (2013): Issue 2 (June 2013)

Volume 38 (2013): Issue 1 (March 2013)

Volume 37 (2012): Issue 4 (December 2012)

Volume 37 (2012): Issue 3 (September 2012)

Volume 37 (2012): Issue 2 (June 2012)

Volume 37 (2012): Issue 1 (March 2012)

Foundations of Computing and Decision Sciences

ISSN: 0867-6356 (print version)  Foundations of Computing and Decision Sciences (until 1990 Foundations of Control Engineering) is a quarterly peer-reviewed international journal published since 1975. One of its main aims is its focus on the links between Computing (understood in the sense defined in the report of the ACM Task Force on the Core of Computer Science chaired by Peter J. Denning: Computing as a Discipline, CACM, Vol. 32, No. 1, 1989) and broadly understood Decision Sciences.  Scope of topics  The journal provides a forum for exchange of ideas for researchers in the fields of computing and decision sciences. The scope of the journal covers various areas of computing and decision sciences, particularly:    approximate reasoning,  artificial intelligence,  combinatorial optimization,  computational complexity theory,  databases and data warehouses,  intelligent decision support,  knowledge engineering,  machine learning and data mining,  metaheuristics,  multiple criteria decision analysis,  networking and distributed systems,  parallel computing and concurrency,  production and project scheduling,  scheduling theory,  soft and granular computing,  software engineering.     Why submit   International editorial board composed of distinguished scholars highly representative of the field of computing and decision sciences,  Quick turnaround,  Comprehensive peer review with at least two highly competent referees assessing each manuscript,  Promotion of published papers in the vast scientific community of researchers working in the field.   Rejection Rate   ca. 60%   Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process (iThenticate, https://www.ithenticate.com/ ). 

Foundations of Computing and Decision Sciences

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