Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Mapping the royal road and other hierarchical functions.

Janet Wiles1, Bradley Tonkes

  • 1School of Psychology and School of Information Technology and Electrical Engineering, University of Queensland, Queensland, 4072, Australia. j.wiles@itee.uq.au

Evolutionary Computation
|July 24, 2003
PubMed
Summary

This study introduces a novel visualization technique for complex fitness functions in evolutionary computation. The method helps analyze multi-modal landscapes and understand basins of attraction for optimization algorithms.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Socially Minded Intelligence: How Individuals, Groups, and Artificial Intelligence Can Make Each Other Smarter (or Not).

Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc·2026
Same author

A Social Identity Theory of Digital Identity.

Perspectives on psychological science : a journal of the Association for Psychological Science·2026
Same author

Development of an mHealth Application for Self-Management of Post-Stroke Aphasia: Protocol for Experience-Based Co-Design, User Experience Testing, Feasibility Field Test and Process Evaluation.

International journal of language & communication disorders·2025
Same author

Experience-based co-design of a smartphone app for post-stroke aphasia self-management: a process evaluation.

Brain impairment : a multidisciplinary journal of the Australian Society for the Study of Brain Impairment·2025
Same author

Disrupting hackathons: reflections on creating inclusive design events through collaboration.

Brain impairment : a multidisciplinary journal of the Australian Society for the Study of Brain Impairment·2025
Same author

Bridging the digital divide for people with aphasia: a study protocol for codesigning web accessibility tools and guidelines.

BMJ open·2025

Area of Science:

  • Evolutionary Computation
  • Computational Intelligence
  • Optimization Theory

Background:

  • Multi-modal fitness functions are crucial in evolutionary computation.
  • Visualizing these functions in moderate-dimensional binary spaces (n <= 16) is challenging.
  • Existing methods lack clarity for hierarchical and symmetric landscapes.

Purpose of the Study:

  • To present a new technique for visualizing hierarchical and symmetric, multi-modal fitness functions.
  • To provide insights into the properties of these functions, especially basins of attraction.
  • To explore specific fitness functions like Royal Road, H-IFF, and HDF.

Main Methods:

  • Unfolding hyperspace into a 2D graph.
  • Using recursive relationships for topological representation.

Related Experiment Videos

  • Employing shading to define cost surface shapes.
  • Case-study analysis of Royal Road, H-IFF, and HDF.

    • Main Results:

    • The visualization technique effectively reveals landscape topology and cost surface shape.
    • Insights gained into the size and shape of basins of attraction around local optima.
    • Demonstrated utility across Royal Road, H-IFF, and HDF fitness functions.

    Conclusions:

    • The proposed visualization method offers valuable insights into complex fitness landscapes.
    • It aids in understanding optimization challenges posed by multi-modal functions.
    • This technique enhances the analysis of evolutionary computation landscapes.