Approximation-based global optimization strategy for structural synthesis

The methodology involves the solution of a sequence of high-quality approximate problems using a global optimization algorithm. The global optimization algorithm implemented consists of a branch and hound strategy based on the interval evaluation of the objective function and constraint functions, combined with a local feasible directions algorithm. The approximate design optimization problems are constructed using first order approximations of selected intermediate response quantities in terms of intermediate design variables

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