Genetic Optimization for Exploratory Projection Pursuit,

Abstract

Exploratory Projection Pursuit is a technique for forming projections of a multivariate point cloud and searching for those projections that reveal the most structure. The search component is typically some variant of a steepest descent procedure and, particularly when the search space is ill-behaved, leaves open the possibility that the best projection will not be found. Genetic Algorithms are generally applicable optimization techniques, well suited for search spaces in which more traditional techniques fail. This paper describes experiments designed to ascertain the effectiveness of Genetic Algorithms as optimizers for exploratory projection pursuit.

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1992
Accession Number
ADP007160

Entities

People

  • Stuart L. Crawford

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Computer Science
  • Engineering
  • Evolutionary Algorithms
  • Genetic Algorithms
  • Heuristic Methods
  • Mathematics
  • Optimization
  • Point Clouds
  • Statistics
  • Theoretical Computer Science

Readers

  • Neural Network Machine Learning.
  • Operations Research
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Biotechnology
  • Space
  • Space - Space Objects