
Genetic Algorithms Digest  Thursday, March 27, 1997 Volume 11 : Issue 9

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Today's Topics:

	- A Message From the Governing Board of ISGA
	- Seeking work on GA-based non-hierarchical clustering
	- Evolution and development of ANNs
	- Book Announcement: 2nd Edition Li-Vitanyi on Kolmogorov Complexity
	- Short Course Announcement
	- New Home for The Genetic Programming Notebook
	- Help needed

----------------------------------------------------------------------

CALENDAR OF GA-RELATED ACTIVITIES: (with GA-List issue reference)

ICANNGA97 Intl Conf on Artificial NNs and GAs, England (v10n16)   Apr 1-4, 97
AISB97 Workshop on Evolutionary Computing, Manchester (v10n42)    Apr 7-8, 97
EP97 Conf on Evolutionary Programming, Indianapolis (v10n19)    Apr 13-16, 97
ICEC97 Intl Conf Evolutionary Computation, Indianapolis(v10n27) Apr 13-16, 97
KES97 Knowledge-Based Intel Electronic Systems,Australia(v10n48)May 21-23, 97
ISMB97 Intelligent Systems for Molecular Biology,Greece(v10n42) Jun 21-25, 97
WSC2 Online World Conf on Soft Computing, on the Internet(v11n2)Jun 23-27, 97
MENDEL97 Intl Mendel Conference on GAs, etc, Brno, Czech (v11n3)Jun 25-27, 97
GP97 Genetic Programming Conference, Stanford, CA (v10n45)      Jul 13-16, 97
ICGA97 Intl Conf on Genetic Algorithms, East Lansing MI(v10n35) Jul 19-23, 97
MIC97 Metaheuristic Intl Conf, Sophia-Antipolis France (v10n47) Jul 21-24, 97
ECAL97 4th European Conf on Artificial Life, England (v10n36)   Jul 28-31, 97
3NWGA 3rd Nordic Workshop on GAs, Helsinki, Finland (v10n43)    Aug 18-20, 97
PATAT97 Intl Conf on Automated Timetabling, Toronto (v11n6)     Aug 20-22, 97
IJCAI97 Workshop on Evolvable Systems, Nagoya, Japan (v11n5,6)     Aug 23, 97
IMACS97 Scientific Comp, Modelling & App Math, Germany (v10n42) Aug 24-29, 97
IMACS97 Evolutionary Computation, Berlin, Germany (v10n45)      Aug 24-29, 97
BCEC97 Bio-Computing and Emergent Computation, Sweden (v10n44)    Sep 1-2, 97
GALESIA97 Conf on GAs in Engineering Systems, Glasgow UK (v10n36) Sep 2-4, 97
EUROMICRO97 Euromicro Wrkshp on Comp Intel, Hungary (v10n47)      Sep 3-4, 97
EUFIT97 Intelligent Techniques & Soft Computing, Aachen (v10n41) Sep 8-12, 97
SOCO97 Intl ICSC Symposium on Soft Computing, France (v10n40)   Sep 17-19, 97
EA97 Evolution Artificielle, EMA-EERIE, Nimes, France (v11n4),  Oct 23-27, 97
Evol Computation for Industrial Applications,New Zealand (v11n3)Nov 24-28, 97
EuroGen97 Short course GAs & ESs / Comp Sci & Eng (v11n5)  Nov 28 - Dec 5, 97
ACDM98 Adaptive Comp in Design & Manufacture, Plymouth (v11n3)  Apr 21-23, 98
ISORA98 Learning Cyclic Control/Behavior in Robots,Alaska (v11n8)May 10-14,98

  http://www.aic.nrl.navy.mil/galist/info/conferences/CONFERENCES.html has
  more information on the above conference activities. Send announcements of
  other activities to GA-List@aic.nrl.navy.mil.

------------------------------

From: darrell whitley <whitley@CS.ColoState.EDU>
Date: Fri, 21 Mar 1997 13:55:29 -0700 (MST)
Subject: A Message From the Governing Board of ISGA

The following message deals with the governance of the
International Society for Genetic Algorithms (ISGA) and solicits
proposals for the 1998 Foundations of Genetic Algorithms workshop.

THE 1997 GOVERNING BOARD ELECTIONS

In 1997, three seats currently held by R. Belew, J. Holland and
K. De Jong will become available on the ISGA Governing Board.
Nominations of candidates to be placed on the ballot
can be made to the nomination committee:

S. Forrest, D. Whitley and M. Vose

Recommendations should be made before June 1, 1997.
The names of the candidates will be
announced on Genetic Algorithm Digest prior to ICGA-97.
Ballots will be available as part of the registration
packet at ICGA and votes can be cast during the conference or
during the business meeting at ICGA-97.

The other three current members of the 9 member governing
board are Pete Angeline, Nick Radcliffe and Hans-Paul Schwefel.

If anyone has comments about the organization of ISGA, the
operation of the Governing Board, or any other issue concerning
the operation of ISGA, ICGA, or FOGA, please attend ICGA-97
and the business meeting.  Individuals may also communicate
directly with members of the Governing Board.   Motions
concerning the governance of ISGA can be made and voted
on at the ISGA business meeting held at ICGA-97.

The main business of ISGA is running the International Conference
on Genetic Algorithms (ICGA) and the Foundations of Genetic
Algorithms workshop (FOGA).  An immediate issue before the
Governing Board concerns the arrangements for FOGA-98.

CALL FOR PROPOSALS:  FOGA-5

We solicit proposals to host FOGA-5 in 1998.
The Foundations of Genetic Algorithms workshop is designed to
be a theory workshop with limited participation (50 to 75
individuals). Papers submitted to FOGA should be theoretical
in nature or have some theoretical relevance.

For past FOGA workshops, 1 or 2 individuals have taken care
of all aspects of organizing and hosting FOGA as well as
serving as editor(s) of the proceedings.  However, if anyone
wishes to take on the role of General Chair and/or Program
Chair they may wish to organize and run FOGA in a different
manner.  We do want to keep the general structure and
orientation of the FOGA workshop unchanged.

Individuals interested in being a local host for FOGA or in
being Chair for FOGA can obtain more information by contacting

D. Whitley     whitley@cs.colostate.edu    (970) 493-7265

All proposals to the Governing Board should
be made before May 1, 1997.

------------------------------

From: Philip Resnik <resnik@umiacs.umd.edu>
Date: Wed, 19 Mar 1997 18:02:44 -0500 (EST)
Subject: Seeking work on GA-based non-hierarchical clustering

Hello --

I'd be grateful for pointers to work on the use of genetic algorithms
(or related stochastic optimization techniques) in non-hierarchical
clustering, i.e. the problem of assigning each of a set of items
{i_1,...,i_n} to one of a set of clusters {C_1,...,C_m}, given only a
distance (or similarity) matrix or function Dist(i_j,i_k).  A
particular feature of interest is the automatic determination of the
appropriate number of clusters, either statically as a pre-processing
step or dynamically over the run of the algorithm.

I have already located some possibly relevant pointers, including

  - a paper by document clustering by Gareth Jones et al.,

  - several references to "fuzzy clustering" that are of questionable
    relevance (I need discrete clusters for my application, though
    I might consider fuzzy clusters at some future point)

  - references to several papers by Faulkenauer involving "grouping"

Comments on the relevance of this work, if you're familiar with it,
will help, and I'd be very grateful for any other suggestions.  If
people reply to me personally rather than using list bandwidth, I'd be
happy to post a summary.

  Philip

  Philip Resnik, Assistant Professor
  Department of Linguistics and Institute for Advanced Computer Studies

  1401 Marie Mount Hall          Phone : (301) 405-6760
  University of Maryland         Fax   : (301) 405-7104
  College Park, MD 20742 USA	 E-mail: resnik@umiacs.umd.edu

------------------------------

From: kodjaba@biologie.ens.fr (Jerome KODJABACHIAN)
Date: Thu, 20 Mar 1997 17:34:12 +0100 (MET)
Subject: Evolution and development of ANNs

The following papers can be downloaded from the AnimatLab's Home Page:
http://www.biologie.ens.fr/AnimatLab

J. Kodjabachian
AnimatLab
Departement de Biologie
Ecole Normale Superieure
Paris, FRANCE

kodjaba@wotan.ens.fr
=====

Evolution and Development of Modular Control Architectures
for 1-D Locomotion in Six-Legged Animats.

J. Kodjabachian & J.-A. Meyer

Abstract:

An evolutionary approach is used to design neural control
architectures for six-legged animats. Using a geometry-oriented
variation of the cellular encoding scheme and syntactic constraints
that reduce the size of the genetic search space, the developmental
programs of straight locomotion controllers are first evolved. One
such controller is then included as the first module in a larger
architecture, in which a second neural module is evolved and develops
connections to the first one, so as to set locomotion on or off
according to tonic or phasic external control signals. Such an
incremental approach should prove useful to the automatic design of
relatively complex control architectures that might, in particular,
implement some cognitive abilities over and above mere
stimulus-response mechanisms.

Keywords: Evolution, Development, Dynamical Neural Networks, SGOCE,
          Hexapod Locomotion.
====

Evolution and Development of Neural Networks Controlling Locomotion,
Gradient-Following, and Obstacle-Avoidance in Artificial Insects.

J. Kodjabachian & J.-A. Meyer

Abstract:

This paper describes how the SGOCE paradigm has been used to evolve
developmental programs capable of generating neural networks that
control the behavior of simulated insects. This paradigm is
characterized by an encoding scheme, by an evolutionary algorithm, and
by an incremental strategy that are described in turn. The additional
use of an insect model equipped with 6 legs and two antennae made it
possible to generate control modules that allowed to successively
add gradient-following and obstacle-avoidance capacities to walking
behavior. The advantages of this evolutionary approach, together with
directions for future work, are discussed.

Keywords: SGOCE Paradigm, Recurrent Neural Networks, Leaky Integrators,
          Genetic Programming, Animats.

------------------------------

From: Paul.Vitanyi@cwi.nl
Date: Wed, 19 Mar 1997 15:43:41 +0100
Subject: Book Announcement: 2nd Edition Li-Vitanyi on Kolmogorov Complexity

[ WMS: Normally this would fall outside the scope of GA-List, but given
  our extensive discussion of the NFL theorems and Kolmogorov complexity
  last year (see v10n*) I thought this might be of interest to some of us. ]

Ming Li and Paul Vitanyi,
AN INTRODUCTION TO KOLMOGOROV COMPLEXITY AND ITS APPLICATIONS,
REVISED AND EXPANDED SECOND EDITION, Springer-Verlag, New York, 1997,
xx+637 pp, 41 illus. Hardcover /ISBN 0-387-94868-6
(Graduate Texts in Computer Science Series)

Written by two experts in the field, this is the only
comprehensive and unified treatment of the
central ideas and their applications of Kolmogorov complexity---the
theory dealing with the quantity of information in individual objects.
Kolmogorov complexity is known variously as `algorithmic
information', `algorithmic entropy', `Kolmogorov-Chaitin
complexity', `descriptional complexity', `shortest program length',
`algorithmic randomness', and others.

See the web page "http://www.cwi.nl/~paulv/kolmogorov.html" for more
information.

------------------------------

From: bwhitehe@sparc2000.utsi.edu (Bruce Whitehead)
Date: Fri, 21 Mar 1997 17:42:19 -0600
Subject: Short Course Announcement

         4-DAY COURSE: GENETIC ALGORITHMS AND NEURAL NETWORKS
                         May 13-16, 1997
                University of Tennessee Space Institute

OBJECTIVES:

(i)   To judge, for a given application, whether either a genetic
      algorithm or a neural network would be advisable.

(ii)  To choose a specific architecture and a specific adaptation/
      learning procedure well-suited to that application.

(iii) To knowledgeably apply the chosen technique, understanding
      its inner workings well enough to know whether it is doing
      what it should be, and if not, to experiment with different
      architectures and parameter settings intelligently, not blindly.


INSTRUCTORS:

David E. Goldberg, Professor of General Engineering, University of
Illinois at Urbana-Champaign, author of "Genetic Algorithms in
Search, Optimization, and Machine Learning" (Addison-Wesley, 1989).

Bruce A. Whitehead, Associate Professor of Computer Science,
University of Tennessee Space Institute.


SCHEDULE:

Tuesday,  May 13, 1997
      Fundamental Principles of Genetic Algorithms (Goldberg)
      Applicable Theory of Genetic Algorithms (Goldberg)

Wednesday,  May 14, 1997
      Lab in Genetic Algorithms (Goldberg)
      Genetic Algorithm Architectures and Methods (Goldberg)

Thursday,  May 15, 1997
      Fundamental Principles of Neural Networks (Whitehead)
      Lab in Neural Networks (Whitehead)

Friday,  May 16, 1997
      Neural Network Architectures and Methods (Whitehead)
      Neural Network Application Software Design (Whitehead)


FOR FURTHER INFORMATION

A detailed course brochure is available at

	http://www.utsi.edu/ConEd/whitehe1.html

A printed course brochure, enrollment/fee information, and travel/lodging
information are available from

	Becky Stines, Short Course Office
	615-393-7278
	e-mail: bbright@utsi.edu

Technical questions about the course content may be directed to

	Bruce Whitehead
	615-393-7296
	e-mail: bwhitehe@utsi.edu

------------------------------

From: Jaime Fernandez <jjf@jjf.com>
Date: Mon, 24 Mar 1997 19:43:46 -0500
Subject: New Home for The Genetic Programming Notebook

The Genetic Programming Notebook has a new home.  It is at:
http://www.geneticprogramming.com/

The GP Notebook site contains information on the following categories:

      Genetic Programming

 GP Tutorial
 Software
 People
 Other Sites
 Research Groups
 Misc
 Bibliographies
 Papers
 Journals
 FAQ
 Calls for Papers
 Conferences
 Commercial


         Genetic Algorithms

 Genetic Algorithms
 Software
 People
 Other Sites
 Research Groups
 Misc
 Bibliographies
 Papers
 Journals
 FAQ
 Courses
 Parallel
 Repositories
 Tutorials


     Artificial Intelligence & Robotics

 Artificial Intelligence
 FAQs
 Newsgroups
 Machine Learning
 Artificial life Sites
 Fuzzy Logic
 Neural Nets
 Robots
 Financial
 Programming

Jaime J. Fernandez Jr.   |  Email:   jjf@jjf.com
Metrica, Inc.            |  WWW:     http://www.jjf.com
Author of the GP Notebook:   http://www.geneticprogramming.com/
And Castles of the World:    http://www.castles.org/

------------------------------

From: V Sundararajan <sundar@cdac.ernet.in>
Date: Fri, 21 Mar 1997 17:12:18 +0530 (IST)
Subject: Help needed

Dear Friends,
	I am working on structure optimisation of biomolecules
using GA.  I need the following reference.  Could any body send
the full paper.
A paper by Lucasius and Kateyan  in proceedings of ICGA '89.

	Secondly, I would like to know what is cyclic Genetic
Algorithms.

[ WMS: I would like to know what a cyclic GA is as well, so please
  reply to GA_List with that info... ]

	I would greatly appreciate your help in the above.

Thanks in advance
sundar

 V. Sundararajan,  Applications group
                   Centre for Development of Advanced Computing
                   Pune University Campus,  Pune 411 007
                   Phone: 352461/79/83/84 Ext 341/342  Direct 370098
                   Fax  : +91 212 357551	
                   e-mail: sundar@cdac.ernet.in

------------------------------

End of Genetic Algorithms Digest
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