The INFORMS Journal on Optimization (IJOO) has recently broadened its
focus to welcome papers from all aspects of mathematical optimization,
including theory, algorithms, software, computation, and the
connections between these areas. The journal also invites submissions
that explore significant and novel applications of optimization. We
encourage contributions at the intersection of optimization and
machine learning, particularly those relevant to decision-making.
IJOO welcomes papers that have appeared previously in conference
proceedings, provided they meet the journal's standards. We also
invite proposals for special issues on topics of current interest to
the optimization community; each special issue will be managed by one
or more guest editors.
On behalf of the editorial board of IJOO, we look forward to your contributions!
The current editorial board includes Guzin Bayraksan (Ohio State),
Frank E. Curtis (Lehigh), Sanjeeb Dash (IBM Research), Oktay Gunluk
(Georgia Tech), Giacomo Nannicini (USC), Courtney Paquette (McGill),
Mohit Singh (Georgia Tech), and Nick Sahinidis (Georgia Tech).
Oktay Gunluk, Editor-in-Chief
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