Student Work

Adaptive websites using genetic algorithms

Public

This project studied the feasibility of adapting a website using a genetic algorithm, in response to user access patterns. We created a hierarchical website and allowed a genetic algorithm to modify its structure. We ran experiments to gather data about how users accessed the site before and after its modification. We found that user access time generally improved after the site had been modified, and concluded that this is a viable approach for adaptive websites.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
Creator
Publisher
Identifier
  • 03D145M
Advisor
Year
  • 2003
Date created
  • 2003-01-01
Resource type
Major
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Permanent link to this page: https://digital.wpi.edu/show/df65vb620