Thursday, November 2, 2017

[DMANET] Special Issue on: Data Science and AI-based Optimization in Scientific Programming

[Apologies if you got multiple copies of this email]

FIRST CALL FOR PAPERS:

Special Issue on: DATA SCIENCE AND AI-BASED OPTIMIZATION IN SCIENTIFIC
PROGRAMMING

Scientific Programming

ISSN: 1058-9244.

Aims and Scope:

==============

Artificial intelligence (AI) is today support for different powerful data
science and optimization techniques. For instance, data science commonly
relies on artificial intelligence algorithms to efficiently solve
classification, regression, and clustering problems. On the other hand,
complex optimization problems that cannot be tackled via traditional
mathematical programming techniques are commonly solved with AI-based
optimization approaches such as the metaheuristics. Data science and
AI-based optimization have also largely been used to solve problems related
to scientific programming. Various examples are reported by the literature
on task assignment in distributed/parallel systems, knowledge discovery,
large-scale data mining, big data, distributed/parallel search, and text
analysis/process/classification, among others. This special issue is devoted
to publishing high-quality papers that involve theoretical and practical
aspects of Scientific Programming related to data science and/or AI-based
optimization. Reviews on this topic are also welcome.

Topics of Interest:

==================

Potential topics include but are not limited to the following:

* Large-scale data science and/or AI-based optimization.

* Hybrids involving data science and AI-based optimization for scientific
programming.

* Integration of AI-based optimization, data science, and
autonomous/distributed search.

* Parallel/distributed data science and/or AI-based optimization.

* Big data in scientific programming.

* High performance computing and data science.

* High performance computing and AI-based optimization.

* Data science and/or AI-based optimization frameworks for scientific
programming.

* Data science and/or AI-based optimization for manufacturing and scheduling
using scientific programming.

* Data science and/or AI-based optimization for civil and financial
engineering using scientific programming.

* AI-based optimization and/or data science in robotics.

Authors can submit their manuscripts through the Manuscript Tracking System
at https://mts.hindawi.com/submit/journals/sp/dsa/.

Papers are published upon acceptance, regardless of the Special Issue
publication date.

Important Dates:

===============

Submission deadline: Friday, 6 April 2018.

Publication Date: August 2018.

Lead Guest Editor:

=================

Ricardo Soto, Pontificia Universidad Católica de Valparaíso, Valparaíso,
Chile

ricardo.soto@pucv.cl

Guest Editors:

=============

Juan A. Gomez-Pulido, University of Extremadura, Cáceres, Spain

jangomez@unex.es

Stéphane Caro, Centre National de la Recherche Scientique (CNRS), Paris,
France

stephane.caro@lsòn.fr

José M. Lanza-Gutiérrez, Technical University of Madrid, Madrid, Spain

jm.lanza@upm.es


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