Date of Submission
Academic Programs and Concentrations
Project Advisor 1
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.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Mensch, Elijah Patton, "Optimizing Website Design Through the Application of an Interactive Genetic Algorithm" (2016). Senior Projects Spring 2016. 313.