On January 4-8, 1999, UCLA Extension will present the short course,
"Genetic Algorithms Workshop", on the UCLA campus in Los Angeles.
The instructors are Mark J. Jakiela, PhD, Washington University, St.
Louis; and Matthew B. Wall, PhD, Massachusetts Institute of
Technology, Cambridge.
The robustness and versatility of Genetic Algorithms (GAs) have spurred
their application to a diverse range of problems, such as scheduling,
structural optimization, computer animation, and software generation.
As computation becomes increasingly powerful and inexpensive, more
applications should follow. This course is aimed at the practitioner who
intends to create these new applications. Genetic algorithms are
inherently simple in concept and application, such that the course
takes participants quickly to the actual use of GAs on real problems.
Current theory is presented as needed to understand the operation
and performance of GAs and to describe their historical context.
Participants are encouraged to bring a real problem that they wish to
solve, so that their working software prototype can be developed in a
supervised laboratory environment. The course is conducted in a
lecture and workshop format, where mornings are devoted to lectures
and afternoons to related laboratory exercises. Dedicated computer
teaching classrooms are utilized for the lab sessions. The course uses
the genetic algorithms library GALib developed at the Massachusetts
Institute of Technology CADLAB, an object-oriented library written in
C++ that runs on MacOS, Windows, and UNIX. The course fee
includes a single-user, for-profit license for GALib. (If participants
would like to integrate GALib with existing software during the course,
they should contact the course instructors as soon as possible to
make arrangements.)
The course is intended for anyone who is interested in any type of
optimization, including engineers, managers, computer scientists, as
well as those interested in planning, operations, and operations
research. The course should also benefit anyone oriented toward basic
sciences, such as biology and sociology, where evolutionary models
may be useful. There are no limitations with regard to particular
technical disciplines or industries.
Prerequisite
Participants should be reasonably proficient in C or C++ and be
comfortable with the write-compile-debug process of software
development. The course workshops use Microsoft Visual C++ as the
development environment.
The course fee is $1595, which includes extensive course materials.
These materials are for participants only, and are not for sale.
For a more information and a complete course description, please
contact Marcus Hennessy at:
(310) 825-1047
(310) 206-2815 fax
[log in to unmask]
http://www.unex.ucla.edu/shortcourses
This course may also be presented on-site at company locations.
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