Call for Papers: 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: January 31st, 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

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) 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

Any questions related to this special issue should be sent to:

Carlos H. Antunes, University of Coimbra,
Carlos M. Fonseca, University of Coimbra,
Luís Paquete, University of Coimbra,
Michael Stiglmayr, University of Wuppertal,

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