Evo-Web is a case studying website and a research prototype for my Master's thesis entitled, "Webpage Optimization Using Genetic Algorithm Driven CSS."
However compelling the message, however great the copy, the way a web page is designed and presented will have a dramatic impact on success of your site, for better or for worse. When generating the look of a website, one of the main challenges is to take into account the user preference. Traditionally, web developers and designers have dealt with information architecture and usability research to tune their design. As more and more search engines and major news websites become customized and tailored to fit user preference (e.g. Google, Amazon, MSN, etc.), efficient and tasteful organization of information on a web site becomes a shared task between designer, user, and the intermediary—computer.
Evolutionary algorithm, implemented in a web design, can continually seek optimal design solutions, which can adapt to needs of diverse user groups and varying trend in the virtual web environment. Genetic algorithm, in particular, will fully explore wide variety of potential design solutions, which can lead to solutions that would otherwise not be considered using traditional design method.


