[Opt-Net] Call for Papers: Special Issue on Mixed-Integer Multi-Agent Optimization in MMOR

Martin Schmidt schmidtm at uni-trier.de
Fri Feb 2 10:29:27 CET 2024


Dear colleagues,

you still have one month to submit your papers to the special issue in
MMOR on Mixed-Integer Multi-Agent Optimization. Here’s the call’s text
again:

Many real-world applications require to model the interaction of multiple
self-interested decision makers, whose decisions may depend on each
other. These non-cooperative multi-agent frameworks can either be
modeled as simultaneous or hierarchical games, leading to (generalized)
Nash equilibrium or bilevel problems – or even combinations of the two.
While classic theory and algorithms for these classes of problems mainly
deal with convex games with continuous variables, many applications
make it necessary to consider mixed-integer quantities, which are very
challenging to tackle both from a theoretical and a numerical perspective.
The aim of this special issue is to extend and broaden both the theory and
algorithms for multi-agent optimization problems with mixed-integer
variables. Preference will be given to high-quality contributions with a
special emphasis on exact methods.

Topics of Interest

Of great interest for this special issue are topics around mixed-integer
(generalized) Nash equilibrium models, mixed-integer bilevel or
hierarchical problems, mixed-integer variational inequalities, or
combinations thereof. Contributions proposing methods for nonconvex
programs that encompass as special cases any of these mixed-integer
multi-agent problems are welcome if such a relationship is explicitly
discussed. Subject areas include but are not limited to:

- theory of mixed-integer games (simultaneous or hierarchical) such as
existence or uniqueness theory as well as complexity theory;
- computational methods for the mentioned problems, preferably exact
methods or approximation methods with quality theory;
- challenging and innovative applications.

Any questions can be sent to me!

Best wishes,
Martin Schmidt


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