Special Issue on
Exact and approximation methods for mixed-integer multi-objective
optimization
Special Issue Editors: C. H. Antunes, C. M. Fonseca, L. Paquete, M.
Stiglmayr
Submission Deadline (extended): February 28th, 2023
Completion: October 31st, 2023
Multi-objective optimization problems are solved according to the
principle of efficiency: a solution is efficient if no other feasible
solution exists that is better or equal in all objectives, with at least
one strict inequality. Each efficient solution corresponds to a possible
compromise among the several objectives and is potentially relevant to a
decision maker. Depending on the context, the goal is to compute either
the set of all efficient solutions, its image in the objective space, or a
representation of that image according to some measure of interest. The
multidimensional nature of these problems raises relevant mathematical and
algorithmic challenges. The aim of this Special Issue is to collect the
latest advances on exact and approximation methods with quality guarantees
for multi-objective (mixed) integer optimization problems. High-quality
contributions that advance the state-of-the-art for these problems are
sought.
Topics of interest
Subject areas for this special issue include but are not limited to:
• Multi-objective discrete/combinatorial problems
• Multi-objective mixed integer (non-)linear problems
• Multi-objective continuous non-linear problems
• Multi-objective branch-and-bound and branch-and-cut algorithms
• Column generation and branch-and-price algorithms
• Stochastic and robust multi-objective optimization
• Approximation and representation algorithms for multi-objective
optimization
• Complexity analysis of multi-objective optimization algorithms
• Parallelization of exact multi-objective optimization algorithms
Submission
Please submit manuscripts through the Springer online system (if you are a
new author to the system you will be required to create a system login)
https://www.editorialmanager.com/mmor and, when asked to "Choose Article
Type", select "S.I.: Multi-objective Optimization".
Submission of a manuscript implies: that the work described has not been
published before; that it is not under consideration for publication
anywhere else; that its publication has been approved by all co-authors,
if any, as well as by the responsible authorities – tacitly or explicitly
– at the institute where the work has been carried out.
The publisher will not be held legally responsible should there be any
claims for compensation.
The journal imposes no hard limits on the paper length as long as what
authors write is important. A paper length of about 20 pages in journal
format is appreciated. Submissions that exceed 40 pages in journal format
(including illustrations and references) should however be accompanied by
a short justification as to why a briefer discussion is not possible.
Full author instructions may be found at
http://www.springer.com/186/submission-guidelines
Any questions related to this special issue should be sent to:
Carlos H. Antunes, University of Coimbra, ch at deec.uc.pt
Carlos M. Fonseca, University of Coimbra, cmfonsec at dei.uc.pt
Luís Paquete, University of Coimbra, paquete at dei.uc.pt
Michael Stiglmayr, University of Wuppertal, stiglmayr at uni-wuppertal.de
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