[hpc-announce] CFP: Journal of Computational Science -- Special Issue on Synergy between Parallel Computing , Optimization and Simulation

imen chakroun chakroun.imen at gmail.com
Mon Dec 10 06:38:00 CST 2018

Please accept our apologies if you got multiple copies of this CFP.

Journal of Computational Science (CiteScore: 2.39, Impact Factor: 1.925)
Special issue on
Synergy between Parallel Computing, Optimization and Simulation


- Prof. Nouredine Melab (Managing Guest Editor)
Université de Lille/INRIA Lille - Nord Europe/CNRS CRIStAL, Lille, France
- Dr. Imen Chakroun
Exascience Life Lab, IMEC Research Center, Leuven, Belgium
- Dr. Jan Gmys
Université de Mons / Faculté Polytechnique, Mons, Belgium
- Dr. Peter Korošec
Jožef Stefan Institute, Ljubljana, Slovenia




Plenty of hard optimization problems in a wide range of areas such as
health, manufacturing and production, logistics and supply chain
management, energy, engineering, etc. are increasingly large and complex in
terms of number of input parameters, decision variables, objective
functions and landscape complexity. These problems are often tackled using
optimization approaches including greedy algorithms, exact methods (dynamic
programming, Branch-and-X, constraint programming, A*, etc.) and
metaheuristics (evolutionary algorithms, particle swarm, ant or bee
colonies, simulated annealing, Tabu search, etc.). Solving efficiently and
effectively large and complex problems requires the joint use of these
approaches and massively parallel heterogeneous computing.

In addition, for many real-world problems (e.g. in engineering design) the
evaluation of the objective function(s) often consist(s) of the execution
of an expensive simulation as a black-box complex system. This is for
instance typically the case in aerodynamics where a CFD-based simulation
may require several hours. Optimization algorithms, even if combined with
parallel computing, fail to solve these simulation-based optimization
problems. A typical approach to deal with the computational burden is to
use (instead of real values) cheaper data-driven approximations of the
objective function(s) socalled surrogates or meta-models. A wide range of
surrogates was applied during the last decade including: classical
regression models such as polynomial regression or response surface
methodology, support vector machines, artificial neural networks (ANN),
radial basis functions, and kriging or Gaussian process. ANN is probably
the most prevalent of them with the recent "explosion" of the deep learning
popularized thanks to GPGPUs.


This special issue seeks to provide an opportunity for researchers to
present their original contributions on the joint use of advanced single-
or multi-objective optimization methods, simulation and/or its data-driven
approximation, and distributed and/or parallel multi/many-core computing,
and any related issues. The special issue topics include (but are not
limited to) the following:

- Simulation-based optimization.
- Parallel exact optimization/metaheuristics for solving complex problems
on multi-core processors, accelerators/co-processors (e.g. GPU), clusters,
grids/clouds, etc.
- (Parallel) hybrid algorithms combining optimization and simulation.
- (Parallel) surrogate-assisted optimization.
- Implementation issues of methods combining optimization, simulation
and/or parallel computing.
- Software frameworks for the design and implementation of parallel and/or
distributed simulation and/or surrogate-assisted techniques.
- Simulation-based optimization applications including healthcare,
manufacturing, logistics, biological applications, advanced big data
analytics, engineering design, etc.
- Computational/theoretical studies reporting results on solving complex
problems using the joint use of parallel computing, optimization and


The first step of the submission process is to send a one-page abstract
including a title, a list of authors and their affiliations and emails. It
should be indicated the intent to submit to this special issue either a new
manuscript or a significantly extended version of a previously
published/presented paper. The authors are invited to submit their abstract
as an email attachment to the Special Issue Guest Editors. In the second
step of the submission process, only manuscripts of approved abstracts will
be considered. The submitted manuscripts must not have been published or
simultaneously submitted elsewhere. For the submitted extended papers, an
extension of at least 30% beyond that in the published proceedings is
expected. Each submitted paper (extended or not) will receive thorough
reviews and evaluation. Papers will be selected based mainly on their
originality, scientific and technical quality of the contributions,
organization and presentation and relevance to the special issue. The
JoCS's submission system will be open for submissions to our Special Issue
from 07 February 2019. When submitting your manuscript please select the
article type "VSI: PaCOS". Please submit your manuscript before 28 February

Once your manuscript is accepted, it will go into production, and will be
simultaneously published in the current regular issue and pulled into the
online Special Issue. Articles from this Special Issue will appear in
different regular issues of the journal, though they will be clearly marked
and branded as Special Issue articles.

Please see an example here:

Please ensure you read the Guide for Authors before writing your
manuscript. The Guide for Authors and link to submit your manuscript is
available on the Journal's homepage at:

Inquiries, including questions about appropriate topics, may be sent
electronically to the Guest Editors.

IMPORTANT DATES (Subject to change)

- Abstract submission due: January 15th, 2019
- Paper submission due: February 28th, 2019
- First-round acceptance decision notification: May 31th, 2019
- First revision submission due: August 31th, 2019
- Second-round acceptance decision notification: October 31th, 2019
- Second-round submission due: November 30th, 2019
- Notification of final decision: January 15th, 2020
- Target (tentative) publication date: March 2020


Prof. Nouredine Melab
Université de Lille/INRIA Lille - Nord Europe/CNRS CRIStAL, Lille, France
Email:nouredine.melab at univ-lille.fr

Dr. Imen Chakroun
Exascience Life Lab, IMEC Research Center, Leuven, Belgium
Email: imen.chakroun at imec.be

Dr. Jan Gmys
Université de Mons / Faculté Polytechnique, Mons, Belgium
Email: jan.gmys at umons.ac.be

Dr. Peter Korošec
Jožef Stefan Institute, Ljubljana, Slovenia
Email: peter.korosec at ijs.si

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