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This paper searches for global optima for size optimization benchmarks utilizing a method based on branch and bound principles. The goal is to demonstrate the process for finding these global optima on the basis of two examples. A suitable parallelization strategy is used in order to minimize the computational demands. Optima found in the literature are compared with the optima used in this work.

Global Optima for Size Optimization Benchmarks by Branch and Bound Principles