In this article, a multi-objective optimization is presented to find optimal cable adjustment for statically indeterminate cable structures. Combining a constrained least-square method and the non-dominated sorting genetic algorithm II,… Click to show full abstract
In this article, a multi-objective optimization is presented to find optimal cable adjustment for statically indeterminate cable structures. Combining a constrained least-square method and the non-dominated sorting genetic algorithm II, a trade-off curve of potential solutions is generated from which a final set of cable adjustments can be chosen by the designer. Optimal solutions are measured against solutions found by a trial-and-error method on the George C. King Bridge case study. Results show that the proposed strategy can successfully find adjustments that significantly reduce overall tension errors, with fewer cables involved.
               
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