
Genetic Algorithms Digest   Tuesday, June 11 1991   Volume 5 : Issue 14

 - Send submissions to GA-List@AIC.NRL.NAVY.MIL
 - Send administrative requests to GA-List-Request@AIC.NRL.NAVY.MIL

Today's Topics:

	- ICGA-91 Schedule

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

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

4th Intl. Conference on Genetic Algorithms (v5n9, v5n14)     Jul 13-16, 1991
AAAI 91, National Conference on AI, Anaheim, CA              Jul 14-19, 1991
EUROPEAN SUMMER SCHOOL on MACHINE LEARNING (v5n7)            Jul 22-31, 1991
Genetic Algorithm Course, Stanford (v5n11)                   Jul 22-26, 1991
IJCAI 91, International Joint Conference on AI, Sydney, AU   Aug 25-30, 1991
First European Conference on Artificial Life (v5n8)          Dec 11-13, 1991
ECAI 92, 10th European Conference on AI (v5n13)              Aug  3-7,  1992

(Send announcements of other activities to GA-List@aic.nrl.navy.mil)

**********************************************************************
----------------------------------------------------------------------

From: rbelew@UCSD.EDU (Rik Belew)
Date: Mon, 10 Jun 91 13:03:42 PDT
Subject: ICGA-91 Schedule


		       ICGA-91 CONFERENCE SCHEDULE

			     Friday, July 12

    Welcome Reception                            6:00 pm --- 10:00 pm

			    Saturday, July 13


    Tutorials                                    8:30 am --- 11:30 am

			     Tutorial Track I

    Introduction to genetic algorithms
      John J. Grefenstette
    Applications of genetic algorithms
      Lawrence Davis
    Introduction to classifier systems
      Rick L. Riolo

			    Tutorial Track II

    Genetic algorithms theory
      David E. Goldberg and Gunar E. Liepins
    Biological insights into genetic algorithms
      Richard K. Belew and Charles Taylor



    Lunch                                        11:30 am --- 1:00 pm

    Conference Opens                              1:00 pm

    Opening remarks                               1:00 pm --- 1:15 pm

    Invited Talks I                               1:15 pm --- 3:00 pm

    Complex adaptive systems
      John Holland, University of Michigan
    Optimality and the evolution of recombination
      Marcus Feldman, Stanford University


    Break                                         3:00 pm --- 3:30 pm

    Invited Talks II                              3:30 pm --- 5:15 pm

    Artificial adaptive agents in economics
      John Miller, Santa Fe Institute
    Developmental constraints on evolving systems
      William Wimsatt, University of Chicago


    Dinner (Downtown La Jolla)                    5:15 pm --- 8:00 pm

    Panel Discussion                              8:00 pm --- 9:30 pm

    Opening Reception                            9:30 pm --- midnight


    
			     Sunday, July 14



    Plenary I                                    8:30 am --- 10:15 am

    Schema disruption
      Michael D. Vose and Gunar E. Liepins
    On crossover as an evolutionarily viable strategy
      J. David Schaffer and Larry J. Eshelman
    A survey of evolution strategies
      Thomas  Back,   Frank  Hoffmeister  and  Hans-Paul
      Schwefel

    Break                                       10:15 am --- 10:45 am


    Poster Session I                            10:45 am --- 12:30 pm

    A genetic algorithm for database query optimization
      Kristin  Bennett, Michael C.  Ferris and Yannis E.
      Ioannidis
    The only  challenging problems are  deceptive:  Global  search by
    solving order-1 hyperplanes
      Rajarshi Das and Darrell Whitley
    Bit-climbing, representational bias, and test suite design
      Lawrence Davis
    A  simulated annealing  like convergence  theory  for the  simple
    genetic algorithm:anomalous results and their explanation
      Stephanie Forrest and Melanie Mitchell
    Don't worry, be messy
      David E. Goldberg, Kalyanmoy Deb and Bradley Korb
    Lamarckian learning in multi-agent environments
      John J. Grefenstette
    Optimizing  an  arbitrary  function  is   hard  for  the  genetic
    algorithm
      William E. Hart and Richard K. Belew
    Analysis and design of a general GA deceptive problem
      Abdollah Homaifar, Xiaoyun Qi and John Foster
    Analysis of schema distributions
      Martin Hulin
    An  experimental   comparison  of   binary  and   floating  point
    representations in genetic algorithms
      Cezary Z. Janikow and Zbigniew Michalewicz
    A parallel genetic algorithm for network-diagram layout
      Corey Kosak, Joe Marks and Stuart Shieber
    Evolving a computer program to  generate random numbers using the
    genetic programming paradigm
      John R. Koza
    Inserting  introns  improves   genetic  algorithm  success  rate:
    Taking a cue from biology
      James R. Levenick
    Designer  genetic algorithms:   Genetic  algorithms in  structure
    design
      Sushil J. Louis and Gregory J.E. Rawlins
    An analysis of a simple genetic algorithm
      Yuri Rabinovich and Avi Wigderson
    Forma analysis and random respectful recombination
      Nicholas J. Radcliffe
    Genetic algorithms for the 1-D fractal inverse problem
      R. Shonkwiler, F Mendivil and A. Deliu

    
			   Sunday, July 14 (cont.)

    Poster Session I (cont.)

    On the virtues of parameterized uniform crossover
      William M. Spears and Kenneth A. De Jong
    Delta  coding:     An  iterative  search   strategy  for  genetic
    algorithms,
      D. Whitley, K. Mathias and P. Fitzhorn
    GA-easy does not imply steepest-ascent optimizable
      Stewart W. Wilson
    Context free grammar induction using genetic algorithms
      Peter Wyard


    Lunch                                        12:30 pm --- 2:00 pm

    Plenary II                                    2:00 pm --- 3:45 pm

    Partition coefficients,  static deception and  deceptive problems
    for non-binary alphabets
      Andrew J. Mason
    Handling constraints in genetic algorithms
      Zbigniew Michalewicz and Cezary Z. Janikow
    System identification with evolving polynomial networks
      Hillol Kargupta and R. E. Smith

    Break                                         3:45 pm --- 4:15 pm


    Workshop Session I                            4:15 pm --- 6:00 pm

      Classifier systems
      GAs and artificial life
      Software support and test suites for GAs


    Workshop Session II                          8:00 pm --- 10:00 pm

      Biological influences in problem solving with GAs
      Evolutionary strategies
      Parallel implementations of GAs

    
			     Monday, July 15





    Plenary III                                  8:30 am --- 10:15 am

    Modeling simple human category learning with a classifier system
      Rick L. Riolo
    The   fuzzy  classifier   system:     A  classifier  system   for
    continuously varying variables
      Manuel Valenzuela-Rendon
    Genetic reinforcement learning with multilayer neural networks
      Darrell Whitley, Stephen Dominic and Rajarshi Das


    Break                                       10:15 am --- 10:45 am

    Poster Session II                           10:45 am --- 12:30 pm

    Extended selection mechanisms in genetic algorithms
      Thomas Back and Frank Hoffmeister
    An efficient  classifier system  and its  experimental comparison
    with two representative learning methods on three medical domains
      Pierre Bonelli and Alexandre Parodi
    Initialization,   mutation  and  selection  methods   in  genetic
    algorithms for function optimization
      Mark F. Bramlette
    Using a genetic algorithm to design binary phase-only filters for
    pattern recognition
      David L. Calloway
    Alecsys:  A parallel laboratory for learning classifier systems
      Marco Dorigo and Enrico Sirtori
    Preventing  premature   convergence  in  genetic   algorithms  by
    preventing incest
      Larry J. Eshelman and J. David Schaffer
    Design  of an  adaptive fuzzy  logic controller  using a  genetic
    algorithm
      Gunar E. Liepins and Lori A. Wang
    Adaptation  on  rugged  landscapes generated  by  iterated  local
    interactions of neighboring genes
      Marc Lipsitch
    Adaptation in constant utility non-stationary environments
      Michael Littman and David H. Ackley
    Genetic  algorithms  and  their  potential  for  use  in  process
    control:  A case study
      Jean-Pierre Nordvik and Jean-Michel Renders
    G/SPLINES:   A  hybrid   of   Friedman's  multivariate   adaptive
    regression  splines  (MARS)  algorithm   with  Holland's  genetic
    algorithm
      David Rogers
    A genetic algorithm for primitive extraction
      Gerhard Roth and Martin D. Levine
    Adapting the evaluation space to improve global learning
      Alan C. Schultz
    Application of a genetic classifier for patient triage
      Tod  A.  Sedbrook,  Haviland  Wright  and  Richard
      Wright
    Genetic algorithms in asynchronous teams
      Pedro Sergio de Souza and Sarosh N. Talukdar

    
			   Monday, July 15 (cont.)

    Poster Session II (cont.)

    HCS: Adding hierarchies to classifier systems
      Lingyan Shu and Jonathan Schaeffer
    An  approach to  the analysis of  the  basins of  the associative
    memory model using genetic algorithms
      Keiji Suzuki and Yukinori Kakazu
    Fuzzy logic synthesis with genetic algorithms
      Philip Thrift
    Temporal  processing with  recurrent networks:   an  evolutionary
    approach
      Jan Torreele
    Redundant classifiers and prokaryote genomes
      Tom H. Westerdale

    Lunch                                        12:30 pm --- 2:00 pm


    Plenary IV                                    2:00 pm --- 3:45 pm

    The genetic algorithm and the structure of the fitness landscape
      Bernard   Manderick,   Mark  de  Weger   and  Piet
      Spiessens
    Self-optimizing  image   segmentation  system  using   a  genetic
    algorithm
      Bir Bhanu, Sungkee Lee and John Ming
    Hybridizing the  genetic algorithm  and the  k  nearest neighbors
    classification algorithm
      James Kelly and Lawrence Davis

    Workshop Session III                          4:15 pm --- 6:00 pm

      GAs and connectionist networks
      Machine learning with GAs
      Theory of genetic operators


    Banquet                                      6:30 pm --- 10:00 pm

    
			    Tuesday, July 16



    Plenary V                                    8:30 am --- 10:15 am

    Is it alive or is it GA?
      Thomas S. Ray
    Intelligent structural operators for the k-way graph partitioning
    problem
      Gregor von Laszewski
    Simulated co-evolution as the mechanism for emergent planning and
    scheduling
      Philip Husbands and Frank Mill


    Break                                       10:15 am --- 10:45 am

    Poster Session III                          10:45 am --- 12:30 pm

    Exploring problem-specific  recombination operators for  job shop
    scheduling
      Sugato  Bagchi,  Serdar Uckun,  Yutaka  Miyabe and
      Kazuhiko Kawamura
    The  immune  recruitment  mechanism:   A  selective  evolutionary
    strategy
      Hugues Bersini and Francisco J. Varela
    Genetic algorithm for clustering with an ordered representation
      Jay N.  Bhuyan and Vijay V. Raghavan and Venkatesh
      K. Elayavalli
    Tracking a  criminal suspect through 'face-space' with  a genetic
    algorithm
      Craig Caldwell and Victor S. Johnston
    Looking around:  Using clues from the data space to guide genetic
    algorithm searches
      Hugh M. Cartwright and Gregory F. Mott
    A multi-population genetic algorithm  for solving the k-partition
    problem on hyper-cubes
      J.P. Cohoon, W.N. Martin and D.S. Richards
    Selection in massively parallel genetic algorithms
      Robert J. Collins and David R. Jefferson
    A naturally occurring niche & species  phenomenon:  The model and
    first results
      Yuval Davidor
    A  system  for   learning  routes  and  schedules   with  genetic
      Paula S. Gabbert, Donald E. Brown, Christopher
      L.  Huntley,  Bernard  P. Markowicz  and  David E.
      Sappington
    Genetic algorithms and computer-assisted music composition
      Andrew Horner and David E. Goldberg
    Solving partitioning problems with genetic algorithms
      Donald R. Jones and Mark A. Beltramo 
    GA-1: A parallel associative memory processor for  rule learning 
    with genetic algorithms 
      Hiroaki Kitano, Stephen F.  Smith and Tetsuya Higuchi
    A hybrid genetic algorithm for task allocation in multicomputers
      Nashat Mansour and G. C. Fox
    The parallel genetic algorithm as function optimizer
      H. Muhlenbein, M. Schomisch and J. Born
    Conventional genetic algorithm for job shop problems
      Ryohei Nakano

    
			   Tuesday, July 16 (cont.)

    Poster Session III (cont.)

    Designing biomorphs with an interactive genetic algorithm
      Joshua R. Smith
    A massively parallel genetic algorithm:  Implementation and first
    analysis
      Piet Spiessens and Bernard Manderick
    A comparison of genetic sequencing operators
      T.  Starkweather,  S.  McDaniel,  K.  Mathias,  D.
      Whitley and C. Whitley
    The application of genetic algorithms to resource scheduling
      Gilbert Syswerda and Jeff Palmucci
    On  the sympatric origin  of  species:   Mercurial mating in  the
    Quicksilver model
      Peter M. Todd and Geoffrey F. Miller


    Lunch                                        12:30 pm --- 2:00 pm

    ISGA Business Meeting                         2:00 pm --- 4:00 pm

------------------------------
End of Genetic Algorithms Digest
******************************
