Self-modernization of website design elements using a genetic algorithm


  • V. Fastovec Kharkiv National Automobile and Highway University, Ukraine
  • V. Shuliakov Kharkiv National Automobile and Highway University, Ukraine


Ключові слова:

genetic algorithm, site, mixing, design, conversion, object


Problem. Nowadays, computing devices and various information technologies are widely used to solve tasks of a wide variety from theoretical to practical. Now it becomes important to solve tasks for which it is impossible to find the exact solution, tasks for which there is no general solution in principle, as well as еру tasks for which it is sufficient to choose a solution with some degree of application. Goal. To explore the application of the genetic algorithm to websites to allow them to modernize some of their design elements on their own. To determine which designs are better, it is necessary to maximize conversion in the goal function of the genetic algorithm. Methodology. A sample of a website that is implemented from the following blocks: headline, text description, image, buy button, and ad, is considered. Each of these blocks will have a genome that characterizes the following properties of this object: positioning, height and width, color, shadow, font size, hover effects, and more. Results. The article presented the study of the application of the genetic algorithm to websites, and the perspectives for independent improvement of some elements and its design by sites were considered. Originality. A genetic algorithm has been developed that will allow you to mix selected objects of web pages. Practical value. Practical tools for determining the phenotype of an object were analyzed, and this will allow the site design to evolve to a more conversion level.

Біографії авторів

V. Fastovec, Kharkiv National Automobile and Highway University

assistant professor, cand. eng. sc.

V. Shuliakov, Kharkiv National Automobile and Highway University

assistant lecturer


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