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The workshop will
be held from June 11-13, 2014,
back to back with the 9th International Workshop on
Hybrid Metaheuristics.
The Matheuristics workshop series is proposed as a primary forum
for researchers working on exploiting mathematical programming
techniques in a (meta)heuristic framework, granting to
mathematical programming approaches the problem robustness and
time effectiveness which characterize metaheuristics, or
exploiting the mathematical programming model formulation in the
customization of a metaheuristic for specific or general
problems.
Metaheuristic algorithms and
frameworks, such as tabu search, simulated annealing, GRASP,
VNS, genetic algorithms and ant colonies, have been originally
proposed and developed when the available Mixed Integer
Programming (MIP) algorithms and software were not an efficient
or even feasible alternative for solving real-world problem
instances, or significant subproblems thereof.
However, research on mathematical programming, and in particular
on discrete optimization, has led to a state of the art where
MIP solvers or customized MIP codes can be effective even in a
heuristic context, both as primary solvers or as subprocedures.
Matheuristics 2014 aims at collecting contributions that define
the state of the art for the computational effectiveness and
efficiency or the theoretical properties of “matheuristics”,
which are algorithms and codes that integrate metaheuristics and
MIP strategies and software. The workshop will be entirely
devoted to this subject of research and its applications. The
conference program will consist only of plenary presentations,
enriched by a couple of key-note lectures. Topics of interest
include (but are not limited to):
- Dual information and metaheuristics,
- Decompositions and lower/upper bounds in matheuristic codes,
- Upper and lower bounds interacting evolutions,
- Stochastic programming and heuristic search,
- Metaheuristics for stochastic problems,
- Model-based metaheuristics,
- MIP solvers as search components (such as local branching and
RINS),
- Hybridizing (meta)heuristics and exact methods,
- Experimental analysis and modeling of algorithms, and
- Real world case histories of matheuristic applications, among
others.
Invited Speaker:
Prof. Dr. David L. Woodruff,
UC Davis, Davis, California/USA
Although we do not discard their importance, Matheuristics 2014
is not interested in heuristics tailored to a specific problem
that have no element which can be generalized to other problems
(no matter how mathematically sophisticated they are) nor in
metaheuristics variants or implementations which are not
justified by a mathematical model.
All participants are encouraged to
attend also
the
9th International Workshop on
Hybrid Metaheuristics
taking place simultaneously in Hamburg.
NEW! Follow-up Event: PhD-Course on
Stochastic Programming and Progressive Hedging
Following the Matheuristics
workshop there will be a PhD-Course held by
Prof. David L. Woodruff, PhD
University of California at Davis, Davis, California, USA
Main scopes of
this course are:
Optimization Under Uncertainty
Stochastic Programming: abstract formulations
Examples from logistics and operations
Basic Progressive Hedging
Bounds
Chance Constrained Formulations
Risk Measures
Implementation Issues
The course will take place on:
June 14, 2014,
9:00 am
-
3:00 pm, room no. 4011/13, Esplanade 36,
20345 Hamburg
June 16, 2014,
9:00 am
-
5:00
pm, room no. 4011/13, Esplanade 36,
20345 Hamburg
June 17, 2014,
9:00 am
-
5:00
pm,
room no. 4030, Von-Melle-Park 5, 20148 Hamburg
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