** Apologies for multiple postings **

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*** LAST CALL FOR PAPERS
*** 2013 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO-2013)
***
*** Parallel Evolutionary Systems (PES) Track
***
*** July 06-10, 2013, Amsterdam, The Netherlands
*** Organized by ACM SIGEVO
***http://www.sigevo.org/gecco-2013/organizers-tracks.html#pes
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  Track Description

Modern research during these last twenty years has expanded to address very interesting problems of large complexity (dimensionality, restrictions, computing intensive...). In particular, those coming from real-world scenarios are getting both larger in size and harder in complexity. Aiming at finding accurate (and robust) solutions in the shortest possible computational time, these problems face researchers to new challenges of difficult solution with traditional techniques and computers. One way to achieve unseen numerical and efficient results is the use of parallel algorithms, hardware, and specialized techniques. With the evolution of parallel architectures (symmetric multiprocessors, multi/many-cores, GPUs, etc.), many opportunities emerge for the design of efficient algorithms.

This track in GECCO aims at developing the cross-fertilization of knowledge between evolutionary algorithms (metaheuristics in general) and parallelism. Working in two domains of research is at the same time difficult and fruitful. Knowing on parallelism helps in creating parallel algorithms for clusters, grids of computers or GPUs architectures. However, it also needs a careful definition of proper benchmarks, software tools, and metrics to measure the behavior of algorithms in a meaningful way. In concrete, a conceptual separation between physical parallelism and decentralized algorithms (whether implemented in parallel or not) is needed to better analyze the resulting algorithms.

This track is expected to collect a big deal of high quality information on contributions to the theory and the application of techniques born from the crossover of the traditional parallel field and metaheuristics. Articles are wanted to provide significant contributions to problem solving (efficiency and also accuracy) and be methodologically well-founded.

  Scope

Submission concerning the design, implementation, and application of parallel evolutionary algorithms, and also metaheuristics in general: ACO, PSO, VNS, SS, SA, EDAs, TS, ES, GP, GRASP...  are encouraged. Topics include (but are not limited to):

* Parallel evolutionary algorithms
* Parallel metaheuristics
* Master/slave models
* Massively parallel algorithms
* SIMD/MIMD and FPGA parallelization
* Distributed and shared memory parallel algorithms
* Multicore execution of parallel algorithms
* Concurrent algorithms with several threads of execution
* Algorithms running in clusters of machines
* Grid computing
* Peer to peer (P2P) algorithms
* Ad-hoc and mobile networks for parallel algorithms
* Parallel software frameworks/libraries
* Theory on decentralized and parallel algorithms
* Parallel test benchmarks
* Parallel hybrid/memetic algorithms
* Parallel multiobjective algorithms
* Parallel algorithms and dynamic optimization problems (DOP)
* Algorithms and tools for helping in designing new parallel algorithms
* Competitive/cooperative parallel algorithms and agents
* Statistical assessment of performance for parallel algorithms
* Unified view of parallel approaches and results
* Real-world applications in telecoms, bioinformatics, engineering...

All accepted papers will appear in the proceedings of GECCO 2013, which will be published by ACM (Association for Computing Machinery).

  Important Dates:

   January 23, 2013  - Paper submission deadline
   April 17, 2013    - Camera-ready version of accepted articles
   July 06-10, 2013  - GECCO 2013 Conference in Amsterdam, The Netherlands

  Track Chairs:

Gabriel Luque,[log in to unmask]
El-Ghazali Talbi,[log in to unmask]



-- 
------------------New book --------------------
"Metaheuristics: from design to implementation"
E-G. Talbi
Wiley (624pp), http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470278587.html
ISBN: 978-0-470-27858-1
-----------------------------------------------

Prof. El-Ghazali TALBI
University of Lille - INRIA - CNRS
http: www.lifl.fr/~talbi