Back to results

University of Illinois at Urbana-Champaign

Niching methods for genetic algorithms

Abstract

dc:description

Niching methods extend genetic algorithms to domains that require the location and maintenance of multiple solutions. Such domains include classification and machine learning, multimodal function optimization, multiobjective function optimization, and simulation of complex and adaptive systems.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Computer Science
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Mahfoud, Samir W.
Contributors dc:contributor
  • Goldberg, David E.

Subjects

dc:subject × 2

Rights

dc:rights
Statement dc:rights
  • Copyright 1995 Mahfoud, Samir W.
Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
AAI9543663
(UMI)AAI9543663
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/22047

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Mahfoud, Samir W.. Niching methods for genetic algorithms. Dissertation thesis, University of Illinois at Urbana-Champaign, 2011. http://hdl.handle.net/2142/22047