Robust Multiple Optimization for Adjustable Mechanisms
Masatoshi Muramatsu, Keigo Yamamoto, Takeo Kato · 2014
Robust design that enables the products to ensure robust performance in diverse users and the surroundings has received much attention. The previous research proposed a robust design method derived the optimal adjustable ranges of the adjustable control factors by using the optimization method which considers only robustness. However, deriving the small adjustable ranges is difficult using this method. Consequently, this research proposed a robust multiple optimization method using the Vector evaluated particle swarm optimization in order to consider both robustness and the adjustable range. Design examples are presented to demonstrate the applicability of the proposed method.