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GECCO
2009
Springer

Rapid prototyping using evolutionary approaches: part 1

10 years 7 months ago
Rapid prototyping using evolutionary approaches: part 1
In this paper we describe a multi-objective problem solving approach, simultaneously minimizing average surface roughness Ra and build Time T, for object manufacturing by Rapid Prototyping (RP) processes using evolutionary algorithms. Development of a package- Multi-objective Rapid Prototyping using evolutionary algorithms has been discussed. Popularly used multi-objective genetic algorithm NSGA-II and recently proposed Multi-objective particle Swarm Optimization (MOPSO), with SQP (Sequential Quadratic Programming) based intermittent local search, are employed for optimization purposes. The performances of these evolutionary optimizers are compared on sample objects and proposed procedure is validated based on results obtained.
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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