2005 | OriginalPaper | Chapter
Multiobjective Shape Optimization Using Estimation Distribution Algorithms and Correlated Information
Authors : Sergio Ivvan Valdez Peña, Salvador Botello Rionda, Arturo Hernández Aguirre
Published in: Evolutionary Multi-Criterion Optimization
Publisher: Springer Berlin Heidelberg
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We propose a new approach for multiobjective shape optimization based on the estimation of probability distributions. The algorithm improves search space exploration by capturing landscape information into the probability distribution of the population. Correlation among design variables is also used for the computation of probability distributions. The algorithm uses finite element method to evaluate objective functions and constraints. We provide several design problems and we show Pareto front examples. The design goals are: minimum weight and minimum nodal displacement, without holes or unconnected elements in the structure.