ACM Workshop on Parallel and Distributed Evolutionary Inspired Methods

GECCO 2017

Berlin, Germany

July 15-19, 2017

SCOPE 

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.

Organized by 

 

Ivanoe De Falco

ICAR-CNR, ITALY

 

Antonio Della Cioppa

University of Salerno, ITALY

 

Ernesto Tarantino

ICAR-CNR, ITALY

 

Umberto Scafuri

ICAR-CNR, ITALY

TOPICS

 

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

Submission and important dates 

 

Paper Submission deadline: March 27, 2017

Notification of paper acceptance: April 20, 2017

Camera ready submission: April 27, 2017

Conference dates: July 15-19, 2017 

 

General information on GECCO workshops can be found at

http://gecco-2017.sigevo.org/index.html/Workshops  

 

SUBMISSION GUIDELINES

Authors should email their papers to pdeim@icar.cnr.it on or before March 27th, 2017.  Submissions should adhere to the ACM SIG guidelines as GECCO’s full papers: 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.

Program Committee 

 

Enrique Alba, University of Malaga, Spain

Pascal Bouvry, University of Luxembourg, Luxembourg

Doina Bucur, University of Twente, The Netherlands

Alberto Cano, Virginia Commonwealth University, USA

Fabio D’Andreagiovanni, CNRS, Sorbonne University, France

Bernabé Dorronsoro, University of Cadiz, Spain

Rolf Hoffmann, Technical University Darmstadt, Germany

Farrukh Aslam Khan, CoEIA, King Saud University, Riyadh, Saudi Arabia

Giovanni Iacca, INCAS3, The Netherlands

Kenji Leibnitz, National Institute of Information and Communications Technology, Japan

Manuel Lozano Marquez, University of Granada, Spain

Roberto Montemanni, IDSIA, Switzerland

Ferrante Neri, De Montfort University, UK

Robert Schaefer, University of Science and Technology, Poland

Sevil Sen, Hacettepe University, Turkey

Chien-Chung Shen, University of Delaware, USA

Georgios Sirakoulis, Democritus University of Thrace, Greece

Pawel Topa, AGH University of Science and Technology, Poland

Leonardo Vanneschi, University of Lisbon, Portugal

Marco Villani, University of Modena and Reggio Emilia, Italy

Jaroslaw Was, AGH University of Science and Technology, Poland

Tony White, Carleton University, Canada

Contact us

Ivanoe De Falco

ICAR-CNR, ITALY

MAIL: ivanoe.defalco@icar.cnr.it

Antonio Della Cioppa

University of Salerno, ITALY

MAIL: adellacioppa@unisa.it

Umberto Scafuri

ICAR-CNR, ITALY

MAIL: umberto.scafuri@icar.cnr.it

Ernesto Tarantino

ICAR-CNR, ITALY

MAIL: ernesto.tarantino@icar.cnr.it