[alife] Deadline approaching - ACM Workshop on Parallel and Distributed Evolutionary Inspired Methods @GECCO2017

[Antonio Della Cioppa]

CALL FOR PAPERS

ACM Workshop on Parallel and Distributed Evolutionary Inspired Methods
to be held as part of the
2017 Genetic and Evolutionary Computation Conference (GECCO 2017)
Berlin, Germany
July 15-19, 2017
http://gecco-2017.sigevo.org/ 
Workshop URL: pdeim.icar.cnr.it (http://pdeim.icar.cnr.it)

SCOPE AND TOPICS OF INTEREST

Nature inspired methods include all paradigms of evolutionary computation such as 
genetic algorithms, evolution strategies, genetic programming, ant algorithms, 
particle swarm systems and so on.

These methods are being more and more frequently used to face real-world problems 
characterized by a huge number of possible solutions, thus their execution often requires 
large amounts of time. Therefore, they can highly benefit from parallel and distributed 
implementations, in terms of both reduction in execution time and improvement in 
quality of the achieved solutions.

The workshop aims at creating a forum of excellence on the use of parallel models of 
evolutionary computation methods. This can be achieved by bringing together for an 
exchange of ideas researchers from a variety of different areas, ranging from computer 
scientists and engineers on the one hand to application-devoted researchers like 
biologists, chemists, physicians on the other hand.

Since we are going to increasingly observe a trend towards parallelization of evolutionary 
models in the next years, not only will a Workshop on this topic be of immediate relevance, 
it will also provide a platform for encouraging such implementations.

Researchers putting emphasis on parallel issues in their work with evolutionary systems, 
are encouraged to submit their work. This event is the ideal place for informal contact, 
exchange of ideas and discussions with fellow researchers.

The scope of the workshop is to receive high-quality contributions on topics related to 
parallel and distributed versions of evolutionary methods, ranging from theoretical work 
to innovative applications in the context of (but not limited to):

- Theoretical and experimental studies on parallel and distributed model implementations 
(population size, synchronization, homogeneity, communication, topology, speedup, etc.)

- New trends in parallel and distributed evolutionary computation including Grid and 
Cloud Computing, Internet Computing, General Purpose Computation on 
Graphics Processing Units (GPGPU), multi-core architectures and supercomputers

- New parallel and distributed evolutionary models

- Parallel and distributed implementation of evolutionary-fuzzy, evolutionary-neuro 
and evolutionary-neuro-fuzzy hybrids

- Development of parallel and distributed evolutionary algorithms for data mining on 
big data and machine learning

- Parallel and distributed multi-objective evolutionary algorithms

- Real-world applications of parallel and distributed evolutionary algorithms

Each paper submitted will be rigorously evaluated in a double-blind review process. 
The evaluation will ensure high interest and expertise of the reviewers. Review criteria 
include significance of the work, technical soundness, novelty, clarity, writing quality, 
and sufficiency of information to permit replication, if applicable. All accepted papers 
will be published in the ACM Digital Library.

More detailed information, together with a more comprehensive list of application 
domains, is available at: 
pdeim.icar.cnr.it (http://pdeim.icar.cnr.it)
and
http://gecco-2017.sigevo.org/index.html/Workshops.

IMPORTANT DATES

Submission deadline:
March 27, 2017

Notification of acceptance:
April 10, 2017

Deadline for final submission:
April 24, 2017

Conference dates: July 15-19, 2017

SUBMISSION GUIDELINES
Authors should email their papers to pdeim at icar.cnr.it on or before March 27th, 2017.  
Submissions should adhere to the ACM SIG guidelines as GECCO’s full papers:
(http://gecco-2017.sigevo.org/index.html/Papers+Submission+Instructions)Papers  (http://gecco-2017.sigevo.org/index.html/Papers+Submission+Instructions)Submission Instructions (http://gecco-2017.sigevo.org/index.html/Papers+Submission+Instructions), and not exceed  8 pages in length.
Each paper submitted will be rigorously evaluated in a double-blind review process. 
The evaluation will ensure high interest and expertise of the reviewers. 
Review criteria include significance of the work, technical soundness, novelty, clarity, 
writing quality, and sufficiency of information to permit replication, if applicable. 
All accepted papers will be published in the ACM Digital Library.

Workshop Organizers

Ivanoe De Falco
Antonio Della Cioppa
Ernesto Tarantino
Umberto Scafuri


GECCO is sponsored by the Association for Computing Machinery Special
Interest Group on Genetic and Evolutionary Computation (SIGEVO)