Equivalent displacement based formulations for maximum strength Truss topology design
IMPACT of Computing in Science and Engineering
Multiple-load truss topology and sizing optimization: some properties of minimax compliance
Journal of Optimization Theory and Applications
SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
SIAM Journal on Optimization
Global optimization of truss topology with discrete bar areas--Part I: theory of relaxed problems
Computational Optimization and Applications
Computational Optimization and Applications
Operations Research Letters
On the usefulness of non-gradient approaches in topology optimization
Structural and Multidisciplinary Optimization
| Hi-index | 0.00 |
We consider the minimum compliance topology design problem with a volume constraint and discrete design variables. In particular, our interest is to provide global optimal designs to a challenging benchmark example proposed by Zhou and Rozvany. Global optimality is achieved by an implementation of a local branching method in which the subproblems are solved by a special purpose nonlinear branch-and-cut algorithm. The convergence rate of the branch-and-cut method is improved by strengthening the problem formulation with valid linear inequalities and variable fixing techniques. With the proposed algorithms, we find global optimal designs for several values on the available volume. These designs can be used to validate other methods and heuristics for the considered class of problems.