Date of Submission
Spring 2016
Academic Programs and Concentrations
Computer Science
Project Advisor 1
Robert McGrail
Abstract/Artist's Statement
The goal of this project was to determine the efficacy and practicality of “optimizing” the design of a webpage through the application of an interactive genetic algorithm. Software was created to display a “population” of mutable designs, collect user feedback as a measure of fitness, and apply genetic operations in an ongoing evolutionary process. By tracking the prevalence of design parameters over multiple generations and evaluating their associated “fitness” values, it was possible to judge the overall performance of the algorithm when applied to this unique problem space.
Access Agreement
Open Access
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Mensch, Elijah Patton, "Optimizing Website Design Through the Application of an Interactive Genetic Algorithm" (2016). Senior Projects Spring 2016. 313.
https://digitalcommons.bard.edu/senproj_s2016/313
This work is protected by a Creative Commons license. Any use not permitted under that license is prohibited.