Special Issue on
Exact and Approximation Methods for
Mixed-integer Multi-objective Optimization
Mathematical Methods of Operations Research, Springer
https://www.springer.com/journal/186/updates/20325438
DEADLINE: January 31, 2023
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Description
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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
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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". 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 the special issue
editors:
* Carlos H. Antunes, University of Coimbra, PT, ch@deec.uc.pt
* Carlos M. Fonseca, University of Coimbra, PT, cmfonsec@dei.uc.pt
* Luís Paquete, University of Coimbra, PT, paquete@dei.uc.pt
* Michael Stiglmayr, University of Wuppertal, DE, stiglmayr@math.uni-wuppertal.de
--
Luís Paquete | paquete@dei.uc.pt
http://www.uc.pt/go/paquete
Dept. of Informatics Engineering
University of Coimbra, Portugal
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RAMOO 2022
Coimbra, 15 September 2022
https://moo.univie.ac.at/
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Special Issue on Exact and Approximation Methods for
Mixed-Integer Multi-Objective Optimization
Mathematical Methods of Operations Research
https://www.springer.com/journal/186/updates/20325438
-----------------------------------------------------
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