Loading ...
Sorry, an error occurred while loading the content.

FW: [GP] Genetic Programming vs Algorithms?

Expand Messages
  • John Koza
    The posting below asserts GAs are good at parameter optimization, a task GP cannot handle, ... This is not true. There are hundreds of examples (both in my
    Message 1 of 1 , Dec 3, 2003
    • 0 Attachment
      The posting below asserts
      "GAs are good at parameter optimization, a task GP cannot handle, ..."

      This is not true. There are hundreds of examples (both in my books and
      elsewhere) from dozens of different areas where parameter optimization takes
      place inside a GP run. To take just a few examples, there is parameter
      optimization that takes places (simultaneously with topology creation) in
      problems involving circuits, controllers, antennas, chemical networks,
      etc. --- to saynothing of parameter optimization that takes places in just
      plain old mathematical expressions in symbolic regression runs.

      John R. Koza

      Consulting Professor
      Biomedical Informatics
      Department of Medicine
      Medical School Office Building (MC 5479)
      Stanford University
      Stanford, California 94305-5479

      Consulting Professor
      Department of Electrical Engineering
      School of Engineering
      Stanford University

      PREFERRED MAILING ADDRESS:
      Post Office Box K
      Los Altos, CA 94023-4011 USA

      Phone: 650-941-0336
      Fax: 650-941-9430
      E-Mail: koza@...
      WWW Home Page: http://www.smi.stanford.edu/people/koza

      For information about field of genetic programming in general:
      http://www.genetic-programming.org

      For information about Genetic Programming Inc.:
      http://www.genetic-programming.com

      For information about the 2003 book "Genetic Programming IV: Routine
      Human-Competitive Machine Intelligence", visit
      http://www.genetic-programming.org/gpbook4toc.html

      For the genetic programming bibliography, visit
      http://liinwww.ira.uka.de/bibliography/Ai/genetic.programming.html

      For information about the Genetic Programming book series from Kluwer
      Academic Publishers, visit http://www.genetic-programming.org/gpkluwer.html

      For information about the annual Genetic and Evolutionary Computation
      Conference (GECCO) (which includes the annual Genetic Programming
      Conference) to be held in Seattle on June 26-30, 2004 (Saturday -
      Wednesday), visit http://www.isgec.org/gecco-2004/

      For information about the International Society on Genetic and Evolutionary
      Computation visit: http://www.isgec.org/

      For information about the annual Euro-Genetic-Programming Conference to be
      held in April 5-7, 2004 (Monday-Wednesday) at the University of Coimbra in
      Coimbra Portugal, visit http://www.evonet.info/eurogp2004/

      For information about the annual NASA/DoD Conference on Evolvable Hardware
      (EH) in Seattle on June 24-26 (Thursday - Saturday), 2004, visit
      http://ehw.jpl.nasa.gov/events/nasaeh04/

      For information about the Asia-Pacific Workshop on Genetic Programming
      (ASPGP03), visit http://www.cs.adfa.edu.au/~cec_gp/

      For information about the Genetic Programming Theory and Practice (GPTP)
      workshop organized by the Center for the Study of Complex Systems of the
      University of Michigan, visit
      http://cscs.umich.edu/calendar/conferences/gptp2003/

      For information about the Genetic Programming and Evolvable Hardware journal
      published by Kluwer Academic Publishers, visit
      http://www.kluweronline.com/issn/1389-2576






      -----Original Message-----
      From: Candida Ferreira [mailto:candidaf@...]
      Sent: Tuesday, December 02, 2003 1:26 PM
      To: genetic_programming@yahoogroups.com
      Subject: Re: [GP] Genetic Programming vs Algorithms?



      Korneel Duyvesteyn wrote:

      > Does anyone know a problem which GA can solve but GP cannot? (in a
      > reasonable way..)

      GAs are good at parameter optimization, a task GP cannot handle, although
      GEP, more related to GP than GAs, can handle this kind of problem very well
      thanks to its multigenic nature (see my book Gene Expression Programming:
      Mathematical Modeling by an Artificial Intelligence for details).

      Cheers,
      Candida Ferreira

      -----------------------------------------------------------
      Candida Ferreira, Ph.D.
      Chief Scientist, Gepsoft
      73 Elmtree Drive
      Bristol BS13 8NA, UK
      ph: +44 (0) 117 330 9272
      http://www.gepsoft.com/gepsoft
      http://www.gene-expression-programming.com/author.asp
      -----------------------------------------------------------




      To unsubscribe from this group, send an email to:
      genetic_programming-unsubscribe@yahoogroups.com



      Your use of Yahoo! Groups is subject to http://docs.yahoo.com/info/terms/
    Your message has been successfully submitted and would be delivered to recipients shortly.