Comparison of Two Swarm Intelligence Optimization Algorithms on the Textual Color Problem for Web Accessibility.

Currently, web accessibility is not a major concern of web-masters while creating web sites. For disabled people, it rapidly becomes an obstacle to inclusion in the society. Identifying and circumventing existing barriers constitute an important research topic. In this work, we are concerned with the problem of color accessibility of textual contents in web pages. In many cases, the textual colors of a web page do not respect the minimum constraints defined by recommendations like WCAG 2.0. For example, WCAG 2.0 requires that a minimum difference of brightness, tonality and contrast is ensured. Using the Smart Web Accessibility Platform, we try to transform the colors using a client-side HTTP proxy the best possible while retaining a reasonable access time for the web content. To solve the textual color problem for accessibility, we adapt two swarm intelligence based optimization methods (ABC and API) and we hybridize them with a line search.