Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Topology optimization of compliant mechanism using multi-objective particle swarm optimization
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Rapid prototyping using evolutionary approaches: part 1
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Empirical comparison of MOPSO methods: guide selection and diversity preservation
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Evolutionary multi-objective optimization and decision making for selective laser sintering
Proceedings of the 12th annual conference on Genetic and evolutionary computation
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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.