NIDISC 2016 is the 19th International Workshop on Nature Inspired Distributed Computing
held in conjunction with
The 30th IEEE/ACM International Parallel and Distributed Processing (IPDPS 2016)
May 23-27, 2016
- Albert Y. Zomaya, The University of Sydney, Australia (email@example.com)
- Pascal Bouvry, University of Luxembourg, Luxembourg (firstname.lastname@example.org)
- Franciszek Seredynski, Cardinal Stefan Wyszynski University, Poland (email@example.com)
- El-Ghazali Talbi, University of Lille, INRIA, CNRS, France (firstname.lastname@example.org)
- Grégoire Danoy, University of Luxembourg - Luxembourg - (email@example.com)
- A. Al-Dubai, Edinburgh Napier University, United Kingdom
- A. Al-Jumaily, University of Technology Sydney, Australia
- K. Bilal, COMSATS Institute of Information Technology, Pakistan
- A. Boukerche, University of Ottawa, Canada
- B. Dorronsoro, Universidad de Cádiz, Spain
- J. J. Durillo, University of Innsbruck, Austria
- H. González-Vélez, NCI Cloud Competency Centre, Ireland
- S. U. Khan, North Dakota State University, USA
- J. Kolodziej, Cracow University of Technology, Poland
- A. Lewis, Griffith University, Australia
- S. Malik, COMSATS Institute of Information Technology, Pakistan
- N. Melab, University of Lille, France
- M. Menai, King Saud University, Saudi Arabia
- M. Middendorf, University of Leipzig, Germany
- A. Nakib, University Paris 12, France
- A. J.Nebro, University of Málaga, Spain
- S. Nesmachnow, Universidad de la República, Uruguay
- S. Nikoletseas, University of Patras and CTI, Greece
- 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
- F. Xhafa, Polytechnic University of Catalonia, Spain
Techniques based on metaheuristics and nature-inspired paradigms can provide efficient solutions to a wide variety of problems. Moreover, parallel and distributed metaheuristics can be used to provide more powerful problem solving environments in a variety of fields, ranging, for example, from finance to bio- and health-informatics.This workshop seeks to provide an opportunity for researchers to explore the connection between metaheuristics and the development of solutions to problems that arise in operations research, parallel computing, telecommunications, and many others. Topics of interest include, but are not limited to:
- Nature-inspired methods (e.g. ant colonies, GAs, cellular automata, DNA and molecular computing, local search, etc) for problem solving environments.
- Parallel and distributed metaheuristics techniques (algorithms, technologies and tools).
- Applications combining traditional parallel and distributed computing and optimization techniques as well as theoretical issues (convergence, complexity, etc).
- Other algorithms and applications relating the above mentioned research areas.
Prospective authors of original, unpublished high quality research articles are invited to submit their contributions. NIDISC papers should not exceed 10 two-column pages including figures and references in the traditional IEEE format used in IPDPS. Authors can purchase up to two additional pages for camera-ready after acceptance.
Authors should submit a PDF or Word file through the EDAS system: http://edas.info/N21672.
Paper submission indicates the intention of the author to present the paper at the NIDISC 2016 workshop.
Proceedings of the workshops are distributed at the conference and are submitted for inclusion in the IEEE Xplore Digital Library after the conference.
Selected group of papers from the workshop will be invited to submit an extended version to a special issue of an international high-quality journal (to be defined).
In case of questions, please contact the NIDISC workshop organizers: firstname.lastname@example.org
Submission Deadline -
January 8, 2016
January 22, 2016
Notification of Acceptance - February 12, 2016
Final Copy Due - February 28, 2016
Workshop - May 23, 2016