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* Workshop on Parallel Metaheuristics (PAM'2016)
* https://sites.google.com/site/workshoppam2016/
* As part of International Conference on Metaheuristics and Nature
Inspired Computing (META'2016)
* http://meta2016.sciencesconf.org/
* October 27th – 31st, 2016
* Marrakech, Morocco
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Submission Deadline: June 26, 2016
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PURPOSE AND SCOPE
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Plenty of hard problems in a wide range of application areas,
including engineering design, telecommunications, logistics, etc. have
been modeled and tackled successfully with metaheuristics
(evolutionary algorithms, scatter or swarm search, simulated
annealing, Tabu search, etc.). Nowadays, optimization problems become
increasingly large and complex, forcing the use of parallel computing
for their efficient and effective resolution. On the other hand,
parallel computing has recently undergone a significant evolution in
terms of performance and energy consumption. The design and
implementation of parallel metaheuristics raise several issues related
in the same time to the characteristics of hardware execution machines
and the parallel models of metaheuristics. This session seeks to
provide an opportunity for the researchers to present their original
contributions on the joint use of advanced (discrete or continuous,
single or multi-objective, static or dynamic, deterministic or
stochastic, hybrid) optimization methods and distributed and/or
parallel computing, and any related issues.
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The PAM Workshop topics of interest include (but are not limited to)
the following:
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- Parallel models (island, master-worker, multi-start, etc.) for
metaheuristics revisited for multi-core processors/clusters, GPU
accelerators, MIC coprocessors, clouds, etc.
- Parallel mechanisms for hybridization of optimization algorithms on
parallel modern hardware platforms.
- Parallel strategies for handling uncertainty, robustness and dynamic
nature using metaheuristics.
- Implementation issues of parallel metaheuristics on multi-core
processors/clusters, GPU accelerators, MIC coprocessors, grids/clouds,
etc.
- Software frameworks for the design and implementation of parallel
and/or distributed metaheuristics.
- Computational/theoretical studies reporting results on solving
challenging problems using metaheuristics.
- Energy- and thermal-aware optimization for/with parallel and/or
distributed metaheuristics.
- Optimization techniques for scheduling, compiling, auto-tuning for
multi-core processors/clusters, GPU accelerators, MIC coprocessors,
grids/clouds, etc.
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INSTRUCTIONS FOR PAPER SUBMISSION
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We will accept submissions in three different formats.
- S1: Extended abstracts of work-in-progress and position papers
of a maximum of 3 pages
- S2: Original research contributions of a maximum of 10 pages
- S3: High-quality manuscripts that have recently, within the
last year, been submitted or accepted for journal publication
Submit your paper through the link
http://meta2016.sciencesconf.org/user/submissions
Before submitting the abstract, please read these instructions carefully.
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Proceedings
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Accepted papers in categories S1 and S2 will be published in the
proceedings that will be available at the conference. In addition, a
post-conference Springer book and special issue of Journals is planned
to be published. Participants will be invited to submit extended
versions of their work for consideration.
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IMPORTANT DATES
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- Submission deadline: June 26, 2016
- Notification of acceptance: July 10, 2016
- Early registration: September 16, 2016
- Conference: October 27-31, 2016
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WORKSHOP ORGANIZERS
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Nouredine Melab
Université Lille 1/INRIA Lille - Nord Europe/CNRS LIFL
Phone: +33 3 59 57 78 86
Fax: +33 3 28 77 85 37
Email: nouredine.melab@univ-lille1.fr
Mohand Mezmaz
Universty of Mons
Phone: +32 65 37 46 91
Fax: +32 65 37 46 45
Email: mohand.mezmaz(at)umons.ac.be
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