On the Virtues of Parameterized Uniform Crossover,

Abstract

Traditionally, genetic algorithms have relied upon 1 and 2-point crossover operators. Many recent empirical studies, however, have shown the benefits of higher numbers of crossover points. Some of the most intriguing recent work has focused on uniform crossover, which involves on the average L/2 crossover points for strings of length L. Theoretical results suggest that, from the view of hyperplane sampling disruption, uniform crossover has few redeeming features. However, a growing body of experimental evidence suggests otherwise. In this paper, we attempt to reconcile these opposing views of uniform crossover and present a framework for understanding its virtues.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1995
Accession Number
ADA293985

Entities

People

  • Kenneth D. De Jong
  • William M. Spears

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Adaptive Systems
  • Algorithms
  • Demographic Cohorts
  • Equations
  • Genetic Algorithms
  • Michigan
  • Military Research
  • Observation
  • Probability
  • Sampling
  • Survival
  • Test And Evaluation
  • Universities

Fields of Study

  • Computer science

Readers

  • Approximation Theory.
  • Molecular and genetic basis of cancer.
  • Theoretical Analysis.

Technology Areas

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