Abstract
An example optimization problem consisting of the external steel frame of a 50-story building is used to compare equivalent single-level and multi-level optimization techniques. By dividing the frame into 25 two-story components and by injecting engineering intuition into the multi-level optimization problem, it is demonstrated that the multi-level technique known as collaborative optimization can reach an optimal design with less computational effort than the single-level technique known as the all-at-once approach.
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