Statistics-Based Interactive Evolutionary Computation for Color Scheme Search

Abstract

This paper presents a statistics-based interactive evolutionary computation (IEC) method for color scheme searches. Generally, people who do not have sufficient skill or knowledge of colors need to devote considerable time and effort to creating color schemes. To overcome this problem, we propose a statistics-based interactive genetic algorithm and four similarity search functions. This combination allows users to easily and effectively obtain appropriate color schemes. To investigate the performance of the proposed method, we conducted two experiments and confirmed that the implemented application of the proposed method allows users to obtain a desired color scheme in less than 48 s. We also confirmed that the proposed method could provide users favorable recolored illustrations in less than 52 s. In addition, we confirmed that the search ability of the proposed method is superior to that of the conventional IEC method through a comparison experiment.