Rapid prototyping using evolutionary approaches: part 2

In this paper we extend the work, 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.