A method prunes feasible design subspaces via maximal elements for pointwise constraints then applies topology optimization steered by topological sensitivity fields to satisfy mixed kinematics and physics constraints.
Michalewicz, Genetic algorithms, numerical optimization, and constraints, in: Proceedings of the 6th International Con- ference on Genetic Algorithms, Vol
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Exploring Feasible Design Spaces for Heterogeneous Constraints
A method prunes feasible design subspaces via maximal elements for pointwise constraints then applies topology optimization steered by topological sensitivity fields to satisfy mixed kinematics and physics constraints.