Evolutionary operators for optimal gate location in liquid composite moulding

Authors:
Frédéric Ratle;Vincent Achim;François Trochu
Affiliations:
Centre de Recherche En Plasturgie Et Composites, Département de Génie Mécanique, ícole Polytechnique de Montréal, C.P. 6079, Succ. Centre-ville, Montréal, Québec ...;Centre de Recherche En Plasturgie Et Composites, Département de Génie Mécanique, ícole Polytechnique de Montréal, C.P. 6079, Succ. Centre-ville, Montréal, Québec ...;Centre de Recherche En Plasturgie Et Composites, Département de Génie Mécanique, ícole Polytechnique de Montréal, C.P. 6079, Succ. Centre-ville, Montréal, Québec ...
Venue:
Applied Soft Computing
Year:
2009

Citing 4
Cited 0

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Abstract

A multi-objective evolutionary algorithm is applied to the problem of optimal gate location in liquid composite moulding. The Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is implemented and the efficiency of different variation operators is assessed on a benchmark problem, i.e., a mould of simple geometry. Following this, the algorithm is applied to a more complex mould geometry with the best variation operators. It is shown that the sole use of mutation proved better in the case of a complex part, whereas crossover proved helpful only for a simpler geometry.