The Fourth International Workshop on Frontiers in Evolutionary Algorithms (FEA 2002)

 
 
 
 
 
 
 
 

Mission

Publication policy

Scope

Committees

Paper Submission

Dates

Invited speech

Mission Statement

The FEA workshop is intended as a  forum for the presentation of new results as well as review works on the field of Evolutionary Algorithms. The term  "Evolutionary Algorithms" encompasses terms like Genetic Algorithms, Genetic Programming, Evolution Strategies, Evolutionary Computation, Evolvable Hardware and others that denote computational strategies inspired in natural evolution  and genetic coding.

These algorithms and methods have become a tool of common use by the engineers and  scientists that face complex and ill posed optimization problems, either stationary or dynamic in nature. As a natural consequence the range of applications is steadily growing. The workshop mission is the presentation and publication of quality research work on fundamental issues and application of Evolutionary Algorithms.

The collaboration of the program committee members has been key to ensure the quality of the contributions in past instances of the workshop. Selected papers have been published in a special issue of the Information Sciences International Journal.
 

Publication Policy

• Papers selected for presentation at the conference will be published in the proceedings book in a short paper format (4 pages).
• Long papers (unlimited pages, according to the required style) will be considered for inclusion in a book that will be submitted for publication to the AIP series of Springer Verlag edited by L.C. Jain. Submission of long papers  is not constrained by the paper  submission deadline. However, the authors must communicate its intention by the paper submission deadline.
• Authors of outstanding papers will be asked an extended version to be included in a special issue of the Information Sciences International Journal.

We invite the submission of

• original research contributions,
• discussion papers that posses tutorial value, and
• reviews that help to understand the recent and near future evolution of the field.

Scope of the Workshop

1 Fundamental Issues

 
Convergence results
Coevolution
Classifier systems
Representation and coding issues
Co-evolutionary Algorithms
Evolution Algorithms in Multi-Agent Computing
Complexity Reduction

Signal Processing
Telecommunications
Image Processing
Computer Vision
Multimedia applications
Financial applications and Time Series prediction
Data Mining & Warehousing
Information Retrieval
Classification and Clustering
Regression and Model Identification
Machine Learning
Pattern Recognition
Knowledge Discovery
Constraint Satisfaction and Constrained Optimization
Adaptive and Anticipative Control
Static and Dynamic Optimization
Evolutive robotics
Evolutive Knowbots
Autonomous Systems
Games

Committees

General Chairs

Program Committee

Jarmo Alander (Univ. Vaasa, Finland)
Enrique Alba (Univ. Malaga, Spain)
Thomas Baeck (Dortmund, Germany)
Helio J.C.Barbosa (LNCC/CNPq .Brasil)
Hilan Bensusan (University Bristol, UK)
Peter Bentley (UK)
Maumita Bhattacharya(Monash University, Australia)
Stefano Cagnoni (Univ. Parma, Italy)
Erick Cantu-Paz (Lawrence Livermore Nat. Lab., USA)
Yuehui Chen (Memory-Tech Corporation, Japan)
Carlos A. Coello Coello (Mexico)
Marie Cottrell (Univ. Paris 1, France)
Kelly Crawford (USA)
Alicia d'Anjou (Univ. Pais Vasco, Spain)
Dipankar Dasgupta (Memphis, USA)
Kalyanmoy Deb (Indian Institute of Technology Kanpur, India)
Marco Dorigo (Universite Libre de Bruxelles, Belgium)
Gerry V. Dozier  (Auburn Univ. USA)
Richard Duro (Univ. La Coruna, Spain)
Candida Ferreira (GepSoft, Portugal)
Alex Freitas (PUC-PR, Brazil)
Max Garzon (Memphis University, USA)
Andreas Geyer-Schulz(Universität Karlsruhe , De)
Christophe Giraud-Carrier (ELCA Informatique SA, Switzerland)
Robert Ghanea-Hercock (BT, UK)
David Goldberg (U. Illinois,USA)
Manuel Grana (Univ. Pais Vasco, Spain)
Darko Grundler (Croatia)
Francisco Herrera (Univ. Granada, Spain)
Vasant Honavar (Iowa State University ,USA)
Frank Hoffmann(Royal Institute of Technology, Sweden)
Spyros A.  Kazarlis (Univ. Thessaloniki, Greece)
Tatiana Kalganova (Brunel University, UK)
Sami Khuri (San Jose State University, USA)
Hod Lipson (Cornell University, USA)
Evelyne Lutton (INRIA, France)
John  A. W. McCall (Robert Gordon Univ., UK)
J.J. Merelo (Universidad de Granada, Spain)
Jae C.Oh (Syracuse Univ., USA)
Bjorn Olsson (University of Skovde, Sweden)
Ian C. Parmee (University of Plymouth, U.K.)
Frank Paseman, (University of Jena, De)
Andres Perez-Uribe (Swiss Federal Institute of Technology-Lausanne)
Jennifer L.Pittman (Penn State Univ. USA)
Alberto Prieto (Univ. Granada, Spain)
Robert G. Reynolds (Wayne Univ., USA)
Leon Rothkrantz (University of Delft, Netherlands)
Marco Ruso (Universita degli Studi Mesina, Italy)
Francisco Sandoval (Universidad de Malaga, Spain)
Jose Santos (Univ. Da Coruña, Spain)
Marc Schoenauer (CMA - Ecole Polytechnique, Palaiseau, France)
Shigeyoshi Tsutsui (Hannan University, Japan)
J. Luis Verdegay (Univ. Granada, Spain)
Thomas Villmann (University Leipzig, Germany)
Klaus Weinert (University Dortmund, Germany)
Man Leung Wong (Lingnan University, Hong Kong)
Xin Yao (University of Birmingham, U.K.)
Yun Seog Yeun (Daejin Jin U. Korea)
 

Publicity and local organization commitee

Invited speech

In evolution strategies, self-adaptability is generated by means of an evolutionary search process that  operates on  the solutions generated  by the method as well as on the evolution strategy's parameters, i.e., the algorithm itself. By focusing on  some basic  algorithmic variants  of  evolution strategies,  the fundamental idea  of self-adaptation is  outlined in this talk.

Applications of evolution strategies  include the whole range of business activities, including R & D, technical design, control,   production,  quality   control,  logistics,  and management  decision support. While such  examples can of course not be disclosed, we illustrate  the capabilities of evolution strategies by giving some  simpler  application examples to problems occurring in traffic control  and engineering.

Some theoretical  results about  evolution strategies  will be used to  clarify the  complexity of questions  still  to be addressed  in  this  field.
 
 

Paper submission procedures

Submission instructions may change.
 

Basic submission procedure: send by electronic mail the postscript of pdf version of the abstract (4 pages maximum) to ccpgrrom@si.ehu.es

Styles:

• Short papers (4 pages) must follow the style recommendations for the JCIS proceedings.
• Long papers must follow the  style recommendations for the AIP series.

Hard copies are not encouraged. If it is impossible to perform the electronic submission, then send 4 hard copies of the abstract to the following address:

Dr. Manuel Graña,
Departamento Ciencias de la Computacion, UPV/EHU
Facultad de Informatica,
Paseo Manuel de Lardizabal,
20009 San Sebastian, Spain.

Candidate long papers for the AIP volume can be sent along with the abstract.

As the reviewing process will be performed through electronic means the PostScript or PDF version  of the paper is preferred.
 

• Accepted short papers will be published  in the conference proceedings book
• Best papers will be considered for publication in extended form in a  special issue of Information Science Journal.
• Selected long papers will be included in a volume submitted for publication in the AIP series of Springer Verlag.

IMPORTANT DATES