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              ARTIFICIAL INTELLIGENCE RESEARCH SEMINAR 
                    Department of Computer Science
                   Worcester Polytechnic  Institute

SPEAKER:  Prof. Soraya Rana 
TITLE:    Applications of the Messy Genetic Algorithm
DATE:     Thursday, Oct. 28, 1999 
TIME:     11 am
ROOM:     FL246, Beckett Conference Room.

ABSTRACT:

The Messy Genetic Algorithm (mGA) is a GA-variant that is
characterized by its use of variable length chromosomes, which is the
"messy" part of the Messy Genetic Algorithm.  The first half of my
talk will be a presentation of the basic mGA representation and
operators.  I will discuss some of its advantages and disadvantages
over other traditional GA's.  For the remainder of my presentation I
will give examples of how the mGA has been applied to real-world
applications and discuss how I think we might be able to use this
algorithm for new applications, such as EIBL and data mining
applications for genetic databases.
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Everyone is welcome to attend!