[hpc-announce] [CFP] 9th IEEE Workshop on Parallel / Distributed Combinatorics and Optimization - Special issue in FGCS IF: 4.639
bernabe.cfp at gmail.com
Fri Feb 8 09:13:58 CST 2019
Please, accept our apologies in case of multiple copies of this CFP.
The 9th IEEE Workshop on Parallel / Distributed
Combinatorics and Optimization (PDCO 2019)
held in conjunction with
the 33rd IEEE International
Parallel and Distributed Processing Symposium (IPDPS'2019)
May 20-24, 2019
Rio de Janeiro, Brazil
FIXED DEADLINE (no more extensions): February 17, 2019
Authors of accepted papers will be invited to submit to an Special Issue in
FUTURE GENERATION COMPUTER SYSTEMS - IF: 4.639
The IEEE Workshop on Parallel / Distributed Combinatorics and Optimization aims at providing a forum for scientific researchers and engineers on recent advances in the field of parallel or distributed combinatorics for difficult optimization problems, ranging from theoretical to applied problems. The latter include for instance 0-1 multidimensional knapsack problems and cutting stock problems, large scale linear programming problems, nonlinear optimization problems, global optimization and scheduling problems.
Emphasis will be placed on new techniques for solving difficult optimization problems, like cooperative methods for integer programming problems, nature-inspired techniques and hybrid methods. Aspects related to Combinatorial Scientific Computing (CSC) will also be treated. We also solicit submissions of original manuscripts on sparse matrix computations and related topics (including graph algorithms); and related methods and tools for their efficiency on different parallel systems. Applications combining traditional parallel and distributed combinatorics and optimization techniques as well as theoretical issues (convergence, complexity, etc.) are welcome.
Application domains of interest include (but are not limited to) cloud computing, planning, logistics, manufacturing, finance, telecommunications and computational biology.
* Exact methods, heuristics, metaheuristics, hybrid methods;
* Parallel / distributed algorithms for combinatorial optimization;
* Parallel / distributed metaheuristics;
* Nature inspired parallel / distributed computing;
* Integer programming, linear programming, nonlinear programming;
* Global optimization, polynomial optimization;
* Cooperative methods, hybrid methods;
* Parallel sparse matrix computations, graph algorithms, load balancing;
* Applications: cloud computing, planning, logistics, manufacturing, finance, telecommunications, computational biology, combinatorial algorithms in high performance computing.
Pascal Bouvry, University of Luxembourg, Luxembourg (co-chair)
Didier El Baz, team CDA, LAAS-CNRS, France (co-chair)
El-Ghazali Talbi, University of Lille, INRIA, CNRS, France
Albert Y. Zomaya, The University of Sydney, Australia
Grégoire Danoy, University of Luxembourg, Luxembourg
Didier El Baz, team CDA, LAAS-CNRS, France
Vincent Boyer, University of Nuevo Leon, Mexico
Bernabe Dorronsoro, Universidad de Cádiz, Spain
Keqin Li, State University of New York at New Paltz, USA
Laurence T. Yang, St Francis Xavier University, Canada
Program Committee (to be completed):
A. Bendjoudi, CERIST, Algiers, Algeria
J.-N. Cao, Hong-Kong Polytechnic University, China
J. J. Durillo, Leibniz Supercomputer Center, Munich, Germany
S. Fujita, Hiroshima University, Japan
M. Halappanavar, Pacific Northwest National Laboratory, USA
K. Li, State University of New York, USA
N. Melab, University of Lille, France
M. Menai, King Saud University, Saudi Arabia
A. Nakib, University Paris 12, France
S. Nesmachnow, Universidad de la República, Uruguay
S. Nikoletseas, University of Patras and CTI, Greece
C. Phillips, Sandia National Laboratories, USA
T. Saadi, University of Picardie, France
M. Seredynski, Luxembourg Institute of Science and Technology, Luxembourg
G. Ch. Sirakoulis, Democritus University of Thrace, Greece
G. Spezzano, University of Calabria, Italy
A. Tchernykh, CICESE Research Center, Mexico
S. Varrette, University of Luxembourg, Luxembourg
F. Xhafa, Polytechnic University of Catalonia, Spain
L.T. Yang, St Francis Xavier University, Canada
Papers in the Proceedings of the workshops will be indexed in the IEEE Xplore Digital Library after the conference.
Prospective authors should submit their papers through Workshop PDCO 2019 submission system (EasyChair): https://easychair.org/conferences/?conf=pdco2019 <https://easychair.org/conferences/?conf=pdco2019>
Abstract and paper can be uploaded until February 17, 2019. Authors should preferably follow the manuscript specifications of IEEE IPDPS, i.e. submitted manuscripts may not exceed 10 single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables and references. Style templates are available on IPDPS website <http://www.ipdps.org/ipdps2019/2019-call-for-papers.html>.
Authors from PDCO 2019 will be invited to submit an extended version to a special issue of Future Generation Computer Systems, with Impact Factor: 4.639.
- Submission Deadline: February 17, 2019
- Author notification: March 8, 2019
- Camera ready version: TBD
- Workshop: May 20, 2019
For questions regarding the Workshop, please contact the conference organizers at pdco2019 at sciencesconf.org <mailto:pdco2019 at sciencesconf.org>
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