"Genetic Algorithms and Their Applications: An Introductory Presentation"
Dr. V. Rao Vemuri
Professor in the Department of Applied Science
Lawrence Livermore National Laboratory
University of California Davis/Livermore, Livermore, CA
IEEE Computer Society Distinguished Speaker, Ottawa,
June 5, 1997
A genetic algorithm (GA) is a stochastic search technique based on the
principles of biological evolution, natural selection, and genetic
recombination, simulating "survival of the fittest" in a population of
potential solutions or individuals. GAs are capable of globally
exploring a solution space, pursuing potentially fruitful paths while
also examining random points to reduce the likelihood of settling for a
local optimum. They are conceptually simple yet computationally
powerful, making them attractive for use in complex domains, and have
been demonstrated on a wide variety of problems. We begin by describing
the basic genetic algorithm within the framework of a simple
illustrative example. We will then examine some of the issues which
govern genetic algorithm design decisions and the trade-offs which have
given rise to variations on the basic algorithm. Applications of GA's to
more complex problems will be discussed, including a brief introduction
to Genetic Programming.
Professor V. Rao Vemuri is in the Department of Applied Science,
Graduate Group of Computer Science, and Graduate Group in Biomedical
Engineering at the University of California-Davis. He has 20 years of
academic experience and 9 years of industrial experience. He is the
author of six books and over sixty journal publications. His research
areas include modeling, simulation, numerical methods, neural networks,
genetic algorithms and their applications to signal processing, digital
communications, optimization, control systems and user interface design.
He is a member of ACM, senior member of IEEE, and a former
Editor-in-Chief of the Computer Society Press. He is now an ACM Lecturer
in ACM's Outreach Program.
University of California -
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(Created: July 5, 1997)
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