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Optimization of Constructive Solid Geometry via a Tree-Based Multi-Objective Genetic Algorithm
dc.contributor.authorHamza, Karim T.en_US
dc.contributor.authorSaitou, Kazuhiroen_US
dc.date.accessioned2011-11-14T16:31:36Z
dc.date.available2011-11-14T16:31:36Z
dc.date.issued2004-06-26en_US
dc.identifier.citationHamza, K.; Saitou, K. (2004). Optimization of Constructive Solid Geometry via a Tree-Based Multi-Objective Genetic Algorithm." Proceedings of the Genetic and Evolutionary Computation Conference: 981-992. <http://hdl.handle.net/2027.42/87282>en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/87282
dc.description.abstractThis paper presents the multi-objective evolutionary optimization of three-dimensional geometry represented via constructive solid geometry (CSG), a binary tree of boolean operations of solid primitives. NSGA-II is extended for binary tree chromosomes with customized crossover and mutation operators tailored for the evolution of CSG trees and applied for two-objective shape optimization of indoor modular space truss joints. The results show success in generating a variety of shapes over the Pareto front. A selection of Pareto-optimal shapes are manufactured using a solid freeform fabrication process.en_US
dc.publisherSpringeren_US
dc.titleOptimization of Constructive Solid Geometry via a Tree-Based Multi-Objective Genetic Algorithmen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelMechanical Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Mechanical Engineeringen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/87282/4/Saitou86.pdf
dc.identifier.doi10.1007/978-3-540-24855-2_110en_US
dc.identifier.sourceProceedings of the Genetic and Evolutionary Computation Conferenceen_US
dc.owningcollnameMechanical Engineering, Department of


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