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The_Design_of_Innovation
Colleagues,
The purpose of this note is to let you know that my new book "THE DESIGN OF
INNOVATION: Lessons from and for Competent Genetic Algorithms" is now
available for pre-publication orders from Kluwer Academic Publishers or
amazon.com.
THE DESIGN OF INNOVATION shows how to design and implement competent genetic
algorithms--genetic algorithms that solve hard problems quickly, reliably,
and accurately--and how the invention of competent genetic algorithms amounts
to the creation of an effective, computational theory of human innovation.
I've created a web site, http://www-doi.ge.uiuc.edu/, that contains more
information about the book. Right now, the web site contains a book
summary, a table of contents, and full text of advance praise for DOI from
such notables as John Holland, John Koza (see excerpt below), and Lotfi
Zadeh. More information will be added as it becomes available.
The book will also be available at the Genetic and Evolutionary Computation
Conference (GECCO-2002) in New York, 9-13 July 2002,
(www.isgec.org/GECCO-2002) and there will be a book-signing event at
GECCO involving DOI and other books in the Kluwer Series on Genetic
Algorithms and Evolutionary Computation (GENA). In the meantime,
keep watching http://www-doi.ge.uiuc.edu/ for breaking news about
THE DESIGN OF INNOVATION.
Dave Goldberg
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David E. Goldberg, Professor
Director, Illinois Genetic Algorithms Laboratory (IlliGAL)
Department of General Engineering
Univ. of Illinois at Urbana-Champaign
Urbana, IL 61801
deg@uiuc.edu
http://www-illigal.ge.uiuc.edu/ (GA Lab)
http://online.cen.uiuc.edu/webcourses/ge485/(GA Course)
http://www.davidegoldberg.com/ (GA Consulting)
phone: 217/333-0897; fax: 217/244-5705
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Watch for THE DESIGN OF INNOVATION, a new book
by David E. Goldberg, to be published soon
in the Kluwer Series on GAs and EC
http://www-doi.ge.uiuc.edu/
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ADVANCE PRAISE for
THE DESIGN OF INNOVATION
In this masterstroke of a book, Goldberg de-Balkanizes
the field and bridges the chasm between theory and
practice... Not only does he show a clear path toward
the principled design of scalable genetic and evolutionary
computation, he suggests how these computations lead
to a computational theory of the innovative.
John Koza, Stanford University
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2002 Genetic and Evolutionary Computation Conference,
GECCO-2002, will be held in New York, NY,
July 9-13, 2002 (Tuesday-Saturday).
For further information, http://www.isgec.org/GECCO-2002/
Chair: Erick Cantu-Paz, cantupaz@llnl.gov
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