Running Shoes Design System with Interactive Artificial Bee Colony Algorithm

Abstract

We investigated the effectiveness of an interactive artificial bee colony (IABC) method to retrieve multimodal candidate solutions for real users. The IABC method retrieves various candidate solutions using three types of bees (i.e., employed, onlooker, and scout bees). In this study, we performed experiments to examine the effectiveness of the IABC method for real users using running shoe designs as an evaluation object. The results showed that the IABC method could retrieve more multimodal candidate solutions than the conventional interactive genetic algorithm method.