Nature-Inspired Usability Optimization

Abstract

Nature-inspired algorithms have come into use to solve more and more optimization tasks of high dimension when classical optimization algorithms do not apply. The task of user interface usability optimization becomes the one to be solved by nature-inspired algorithms. Usability optimization suggests a choice of interface design out of a large number of variants. At that, there is no common technique to determine the objective function of such optimization that would lead to the invitation of highly qualified specialists to implement it. The chapter presents a new approach of automatic interface usability optimization. The approach is based on the template employment as well as nature-inspired algorithms such as genetic algorithm (GA), artificial bee colony (ABC) algorithm, and charged system search (CSS) algorithm, bacterial foraging optimization (BFO) algorithm, and cuckoo search (CS) algorithm that are analyzed in the chapter. The results of the experiments have discovered research prospects and new features of the algorithms' application for the set task.