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                            CALL FOR PAPERS

                      First International Conference on 
             Evolutionary Multi-Criterion Optimization (EMO'01)       

                 March 7-9, 2001 (Wednesday to Friday)
                       ETH Zurich, Switzerland

                    http://www.tik.ee.ethz.ch/emo/

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Multi-criterion optimization deals with multiple, often conflicting,
objectives which naturally arise in a real-world scenario. The field of
multi-criterion decision-making (MCDM) is well established and is 
practiced by many researchers and scientists. Unlike in single-objective
optimization, a multi-criterion optimization problem gives rise to a
number of optimal solutions, known as Pareto-optimal solutions, of which 
none can be said to be better than the others with respect to all objectives.
Thus, one of the primary goals in multi-criterion optimization is to find or
to approximate the set of Pareto-optimal solutions. Since evolutionary
algorithms (EAs) work with a population of solutions, they have been used in
multi-criterion optimization for over ten years. Till to date, there exists a
number of EAs and application case studies, demonstrating the usefulness and
efficiency of evolutionary multi-criterion optimization (EMO). 

In order to boost more interests in the topic and to exchange recent research
and application in the area, we have decided to organize this first ever
international conference in one of the most beautiful places of the world.
The conference is planned for two-and-half days starting on 7th March 2001
(Wednesday). A couple of tutorials, one on classical MCDM methods and the
other on EMO methods, are planned particularly for new-comers to the field.
The conference will be held at ETH Zurich, Switzerland. The city of Zurich has
numerous hotels of wide ranges and the university is within walking distance
from the city. Moreover, the university is well connected with the city by
local transport facilities.  

The EMO'01 conference is particularly interested in papers related to
multi-criterion evolutionary optimization, including, but not limited to,
the following topics:

o convergence to Pareto-optimal front
o diversity preservation among Pareto-optimal solutions
o elitism in EMO algorithms
o test problem development for EMO
o complexity analysis of EMO algorithms
o development of new EMO algorithms (using GAs, ES, EP, GP and others) 
o comparison of different EMO algorithms 
o comparison of EMO algorithms with classical and/or non-evolutionary
  MCDM methods
o real-world applications of EMO
 
Authors are invited to submit original, full-length papers (maximum 15 pages)
in PDF format by October 16, 2000 (Monday). The EMO'01 proceedings will be
published within the LNCS series (Lecture Notes in Computer Science:
http://www.springer.de/comp/lncs/index.html) by Springer Verlag. Hence, all
papers must comply to the LNCS style. Full formatting details and templates
are available from http://www.springer.de/comp/lncs/authors.html. Please
follow the guidelines for proceedings and other multi-author volumes. 

EMO'01 submissions must be made electronically via email to emo@tik.ee.ethz.ch,
as the LNCS volumes are published, in parallel to the printed books, in
full-text electronic version. Reference to the conference Web site for
instructions on electronic submission and the preparation of a paper:
http://www.tik.ee.ethz.ch/emo/submission.html. 

Please note the important dates related to this conference:

Paper submission deadline   : October 16, 2000 (Monday)
Notification to authors     : December 4, 2000 (Monday)
Final camera-ready paper due: January  2, 2001 (Monday)
Conference dates            : March  7-9, 2001 (Wednesday-Friday)


General chairs:

Kalyanmoy  Deb, Indian Institute of Technology Kanpur, India (deb@iitk.ac.in)
Lothar  Thiele, ETH Zurich, Switzerland (thiele@tik.ee.ethz.ch)
Eckart Zitzler, ETH Zurich, Switzerland (zitzler@tik.ee.ethz.ch)

Executive program committee of EMO'01:

Carlos A. Coello Coello, LANIA, Mexico
David Corne, University of Reading, UK
Carlos Fonseca, Universidade do Algarve, Portugal
David E. Goldberg, University of Illinois at Urbana-Champaign, USA
Jeffrey Horn, Northern Michigan University, USA
Sourav Kundu, Nihon University, Japan
Gary B. Lamont, Air Force Institute of Technology, USA
Shigeru Obayashi, Tohoku University, Japan
Ian C. Parmee, University of Plymouth, UK
Carlo Poloni, University of Trieste, Italy
Gunter Rudolph, University of Dortmund, Germany
J. David Schaffer, Phillips Research, USA
Hans-Paul Schwefel, University of Dortmund, Germany
El-ghazali Talbi, Universite des Sciences et Technologies de Lille, France