Rapid prototyping using evolutionary approaches: part 2

In this paper we extend the work done in [5], where authors have proposed a evolutionary multi-objective approach to Rapid Prototyping (RP), to decipher optimal build orientation strategies by systematic post-analysis of optimal solutions. Experiments are conducted on a number of basic geometrical objects to obtain build directions using two evolutionary approaches: Multi-objective Particle Swarm Optimization (MOPSO) and a well know multi-objective Genetic Algorithm (NSGA-II). Study of optimal build directions for several components considered indicates a trend, providing insight into the Rapid Prototyping processes which can be regarded highly useful for various practical RP applications.

• Type: Conference
• Year: 2009
• Where: GECCO
• Authors: Nikhil Padhye, Subodh Kalia
• Keywords: GECCO 2009, Optimal Build, Optimal Build Orientation, Optimization, Rapid Prototyping