3rd IEEE ICEC '96 call for papers

Zbigniew Michalewicz zbyszek at uncc.edu
Fri Mar 24 09:00:17 EST 1995


------------------------ CALL FOR PAPERS ------------------------------------

               1996 IEEE International Conference on 
                 Evolutionary Computation (ICEC'96)
                   Nagoya, Japan, May 20-22, 1996 

3rd IEEE ICEC'96 is co-sponsored by IEEE Neural Network Council (NNC) and 
Society of Intrumentation and Control Engineers (SICE). 
3rd IEEE  ICEC'96 will be organized in conjunction with the conference of 
Artificial Life (Kyoto, JAPAN, May 16-18, 1996).

TOPICS:
Theory of evolutionary computation
Applications of evolutionary computation
Efficiency / robustness comparisons with other direct search algorithms
Parallel computer implementations
Artificial life and biologically inspired evolutionary computation
Evolutionary algorithms for computational intelligence
Comparisons between difference variants of evolutionary algorithms
Machine learning applications
Genetic algorithm and selforganization
Evolutionary computation for neural networks
Fuzzy logic in evolutionary algorithms

SUBMISSION PROCEDURE:
Prospective authors are invited to submit papers related to the listed
topics for oral or poster presentation.  Five (5) copies of the paper must
be submitted for review.  Papers should be printed on letter size white
paper, written in English in two-column format in Times or similar font
style, 10 points or larger with 2.5 cm margins on all four sides.  A length
of four pages is encouraged, and a limit of six pages, including figures,
tables and references will be enforced.

Centered at the top of the first page should be the complete title of the
paper and the name(s), affiliation(s) and address(es) of the author(s). 
All papers (except those submitted for special sessions - which may have
different deadlines - see information on special sessions below) should be 
sent to:

Toshio Fukuda, General Chair
Nagoya University
Dept. of Micro System Engineering and 
Dept. of Mechano-Informatics and Systems
Furo-cho, Chikusa-ku, Nagoya 464-01, JAPAN
Phone: +81-52-789-4478  Fax: +81-52-789-3909
E-mail: fukuda at mein.nagoya-u.ac.jp

IMPORTANT DATES:
Proposal for tutorial/exhibits                  	November 15, 1995
Submission of Papers (except for special sessions)      December 20, 1995
Notification of acceptance                              February 20, 1996
Submission of camera-ready papers               	April 10, 1996

Program Co-chairs:

  Thomas Baeck
  Informatik Centrum Dortmund (ICD)
  baeck at ls11.informatik.uni-dortmund.de

  Hiroaki Kitano
  Sony Computer Science Laboratory
  kitano at csl.sony.co.jp  

  Zbigniew Michalewicz
  University of North Carolina - Charlotte
  zbyszek at uncc.edu


There are several special sessions organized for the 3rd IEEE ICEC '96;
so far these include:

*********************************************************************
  "Constrained Optimization, Constraint Satisfaction and EC"
*********************************************************************

Evolutionary Computation has proved its merit in treating difficult problems
in, for example, numerical optimization and machine learning. Nevertheless,
problems where constraints on the search space (i.e., on the candidate 
solutions) play an important role have received relatively little attention. 
In real-world problems, however, the presence of constraints seems to be 
rather the rule than the exception. The class of constrained problems can be 
divided into Constraint Satisfaction Problems (CSP) and Constrained 
Optimization Problems (COP). This special session addresses both subclasses, 
and aims to explore the extent to which EC can usefully tackle problems of 
these kinds.

The session is organized by
Gusz Eiben, chair (Utrecht University, gusz at cs.ruu.nl)
Dave Corne  (University of Edinburgh,dave at aifh.ed.ac.uk)
Jurgen Dorn (Technical University of Vienna, dorn at vexpert.dbai.tuwien.ac.at)
Peter Ross  (University of Edinburgh, peter at aisb.ed.ac.uk)

Submission: 

Four (4) copies of complete (6 pages maximum) papers, preferably in PostScript
form, should be submitted no later than December 15, 1995 to: 

A.E. Eiben                        |  email: gusz at cs.ruu.nl
Department of Computer Science    |
Utrecht University                |  Phone: +31-(0)30-533619
P.O.Box 80089                     |
3508 TB Utrecht                   |  Fax:   +31-(0)30-513791
The Netherlands                   |


All papers will be reviewed, and authors will be notified of the inclusion of
their papers in the special session by February 15, 1996. 

Any questions regarding this special session can be directed to 
any of the organizers.

*********************************************************************
  "Evolutionary Artificial Neural Networks"
*********************************************************************

Evolutionary Artificial Neural Networks (EANNs) can be considered as a
combination of artificial neural networks (ANNs) and evolutionary search
algorithms. Three levels of evolution in EANNs have been studied recently,
i.e., the evolution of connection weights, architectures, and learning rules.
Major issues in the research of EANNs include their scalability,
generalisation ability and interactions among different levels of evolution.
This special session will serve as a forum for both researchers and
practitioners to discuss these important issues and exchange their latest
research results/ideas in the area.

This special session is organized by X. Yao (xin at cs.adfa.oz.au).
Prospective authors are invited to submit four (4) copies of their papers to
the following address no later than 20 December 1995. (Please do not include
author's information, e.g., name and address, in three of four submitted
copies):

Xin Yao
Department of Computer Science
University College, The University of New South Wales
Australian Defence Force Academy
Canberra, ACT 2600, Australia
Ph: +61 6 268 8819
Fax: +61 6 268 8581
Email: xin at csadfa.cs.adfa.oz.au

All papers will be reviewed. Notification of acceptance/rejection will be sent
out by 20 February 1996. The camera-ready copy must be submitted by 10 April
1996 for inclusion in the conference proceedings.

*********************************************************************
  "Evolutionary Robotics and Automation"
*********************************************************************

More and more researchers are applying evolutionary computation techniques 
to challenging problems in robotics and automation, where classical methods 
fail to be effective. In addition to being vastly applicable to many hard
problems, evolutionary concepts inspire many researchers as well as users 
to be fully creative in inventing their own versions of evolutionary 
algorithms for the specific needs of different domains of problems. 
This special session serves as a forum for exchanging research results in
this growing interdisciplinary area and for encouraging further exploration  
of the fusion between evolutionary computation and intelligent robotics and  
automation. 

This special session is organized by J. Xiao (xiao at uncc.edu).
Four (4) copies of complete (6 pages maximum) papers should be submitted    
no later than December 15, 1995 to: 

Jing Xiao 
Department of Computer Science 
University of North Carolina - Charlotte
Charlotte, NC 28223
Phone:  (704) 547-4883
Fax:    (704) 547-3516
E-mail: xiao at uncc.edu

All papers will be reviewed, and authors will be notified of the inclusion 
of their papers in the special session by February 15, 1996. 

Any questions regarding this special session should be directed to 
J. Xiao at the above address.

*********************************************************************
  "Genetic programming"
*********************************************************************

The goal of automatic programming is to create, in an automated way, a 
computer program that enables a computer to solve a problem. Genetic 
programming extends the genetic algorithm to the  domain of computer 
programs.  In genetic  programming, populations of program are genetically 
bred  to solve problems.  Genetic programming is a domain-independent 
method for evolving computer programs that solves, or approximately  
solves, a variety of problems from a variety of fields, including many 
benchmark problems from machine learning and artificial intelligence such 
as problems of control, robotics, optimization, game playing, and symbolic  
regression (i.e., system identification, concept learning). Early versions 
of genetic programming evolved programs consisiting of only a single part 
(i.e., one main program).  

The session is organized by 
John R. Koza, Stanford University (Koza at Cs.Stanford.Edu),
Lee Spector, Hampshire College (LSPECTOR at hampshire.edu), and 
Yuji Sato, Hitachi Ltd. Central Research Lab. (yuji at crl.hitachi.co.jp).

Prospective authors are encouraged to submit four (4) hard 
copies of  their papers (6 pages maximum) to be received 
by Friday December 15, 1995 to:

John R. Koza 
Computer Science Department
Margaret Jacks Hall
Stanford University
Stanford, California 94305-2140 USA
PHONE: 415-723-1517
FAX(Not for paper submission): 415-941-9430 
E-MAIL: Koza at Cs.Stanford.Edu

All papers will be reviewed and authors will be notified 
about acceptance/rejection by about Wednesday, February 
15, 1996.  

*********************************************************************
  "Self-adaptation in evolutionary algorithms"
*********************************************************************

Evolutionary algorithms (EAs) with the ability to adapt internal
strategic parameters (like population size, mutation distribution, 
type of recombination operator, selective pressure etc.)
during the search process usually find better solutions than
variants with fixed strategic parameters. Self-adaptation is very
useful if different (fixed) parameter settings produce large
differences in the solution quality of the algorithm. Most 
experiences are available for (real-coded) EAs whose individuals
adapt their mutation distributions (or step sizes). Here, the
property to adjust the step size is induced by competetive 
pressure among individuals. Evidently, self-adapting mechanisms can
be realized by competing subpopulations as well. The potential of
those EAs is essentially unexplored.

This special session is organized by Guenter Rudolph 
(rudolph at ls11.informatik.uni-dortmund.de) and is intended to serve 
as a forum to discuss new ideas and to address the question of a 
theoretical treatment of self-adapting mechanisms.

Four (4) copies of complete papers (6 pages maximum) should be
submitted no later than December 15, 1995 to:

Guenter Rudolph
ICD Informatik Centrum Dortmund e.V.
Joseph-von-Fraunhofer-Str. 20
D-44227 Dortmund
Germany

Phone : +49 - (0)231 - 9700 - 365
Fax  : +49 - (0)231 - 9700 - 959
E-mail: rudolph at ls11.informatik.uni-dortmund.de

All papers will be reviewed. Authors will be notified of
acceptance/rejection by February 15, 1996.


*********************************************************************
  "Evolutionary algorithms and fuzzy systems"
*********************************************************************

Fuzzy sets (FS) and evolutionary algorithms have been already successfully
applied to many areas including fuzzy control and fuzzy clustering. There
are a number of facets of symbiosis between the technologies of FS and GA.
On one hand evolutionary computation enriches the optimization
environment for fuzzy systems.  On the other, fuzzy sets supply a new
macroscopic and domain-specific insight into the fundamental mechanisms of
evolutionary algorithms (including fuzzy crossover, fuzzy reproduction,
fuzzy fitness function, etc.). The objective of this session is to foster
further interaction between researchers actively engaged in FS and GAs. The
session will provide a broad forum for exchanging ideas between academe and
industry and discussing recent pursuits in the area.

This special session is organized by Witold Pedrycz (pedrycz at ee.umanitoba.ca).
Prospective authors are encouraged to submit four (4) copies of  their
papers (6 pages maximum) by December 15, 1995 to:

Witold Pedrycz
Department of Electrical and Computer Engineering
University of Manitoba
Winnipeg Canada RT 2N2
Phone : (204) 474-8380
Fax: (204) 261-4639
E-mail: pedrycz at ee.umanitoba.ca

All papers will be reviewed and authors will be notified about
acceptance/rejection by February 15, 1996.  



*********************************************************************
*********************************************************************

The deadline for proposals for organizing a special session during the 
3rd IEEE ICEC '96 is 20 August 1995; submit your proposal to any Program 
Co-chair.



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