The Nature of Niching: Genetic Algorithms and the Evolution of Optimal, Cooperative Populations
Horn, Jeffrey
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/81895
Description
Title
The Nature of Niching: Genetic Algorithms and the Evolution of Optimal, Cooperative Populations
Author(s)
Horn, Jeffrey
Issue Date
1997
Doctoral Committee Chair(s)
Goldberg, D.E.
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Biology, Ecology
Language
eng
Abstract
We extend the above analysis by looking at some aspects of the general case of multiple overlapping niches. We discover that calculating the equilibrium point for three or more niches under resource sharing can be computationally expensive, as evidenced by the difficulty that GA selection has in reaching it. We present some evidence that equilibrium can thus represent solutions to hard problems, and that selection plus sharing might be a computationally intensive yet efficient algorithm (even without the exploration operators of recombination and mutation). (Abstract shortened by UMI.).
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
