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GECCO
2009
Springer

Rapid prototyping using evolutionary approaches: part 2

9 years 4 months ago
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.
Nikhil Padhye, Subodh Kalia
Added 24 Jul 2010
Updated 24 Jul 2010
Type Conference
Year 2009
Where GECCO
Authors Nikhil Padhye, Subodh Kalia
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