[Opt-Net] FINAL REMINDER: Call for Abstracts - Workshop on Scaling Behaviours of Landscapes, Parameters and Algorithms (PPSN 2014)

[Ender Ozcan]

[Please circulate to all those who might be interested, and accept our
apologies if you received multiple copies of this announcement]

 

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CALL FOR ABSTRACTS

Submission deadline: June 1, 2014

 

Workshop on

Scaling Behaviours of Landscapes, Parameters and Algorithms

 

13th International Conference on Parallel Problem Solving from Nature 

 

PPSN 2014

 

http://ppsn2014.ijs.si/?show=workshops#ws4

 

Ljubljana, Slovenia

 

September 13, 2014

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All too often heuristics and meta-heuristics for combinatorial optimisation
problems require significant parameter tuning to work most effectively.
Often this tuning is performed without any a priori knowledge as to how good
values of parameters might depend on features of the problem. This lack of
knowledge can lead to lot of computational effort and also has the danger of
being limited to only problem instances that are similar to those that have
been seen before. The aim of the workshop is to support the development of
methods to give deeper insight into problem classes, and how to obtain and
exploit structural information. 

 

The target participants will be those that:

- work on the theory of search algorithms, but are seeking ways for the
theory to have a practical impact;

- work on direct applications, but are frustrated with the trial-and-error
approaches that often are often used, and would like to bring
'theoretically-inspired methods' into their work;

- work on flexible frameworks supporting interchangeability and reusability
of components and a closer integration between parameter selection and the
algorithm.

 

Topics of interest include (but are not limited to):

. (automated) parameter tuning/control in (meta)heuristics

. (meta)heuristics for combinatorial optimisation, dynamic environments,
multi-objective, discrete and continuous optimisation

. (meta)heuristics to generate (create) heuristics (e.g., generation
hyper-heuristics)

. (meta)heuristics to choose heuristics (e.g., selection hyper-heuristics)

. self adaptive (meta)heuristics

. (meta)heuristics exploiting techniques, such as machine learning, data
mining, statistical analysis or analytics

. hybrids of (meta)heuristics with exact methods, such as mathematical or
constraint programming

. software tools (e.g., ECJ, HeuristicLab, HyFlex, Hyperion, jMetal,
ParadisEO)

. distributed/parallel frameworks

. applications of metaheuristics to new challenging domains

. analytical or semi-empirical studies of (meta)heuristics (e.g., landscape
analysis)

. performance prediction, performance robustness and scalability issues

. barriers to uptake of (meta)heuristics in industry

 

SUBMISSIONS

-------------------

We invite submissions as (extended) abstracts of 1-3 pages without exceeding
1000 words in  Springer's LNCS style. The abstracts should be submitted in
PDF format directly to the workshop organisers (see their emails copied
below) and please mention "PPSN2014 workshop submission" in the subject
line.

 

All accepted papers presented at the workshop will be provided online from
the workshop website.

 

Submission deadline: June 1, 2014

 

ORGANISERS

-------------------

Ender Ozcan and Andrew J. Parkes

 

{ender.ozcan, andrew.parkes} [AT] nottingham.ac.uk

 

Automated Scheduling, Optimisation and Planning (ASAP) Research Group

School of Computer Science

University of Nottingham

 

 

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