Global Optima for Size Optimization Benchmarks by Branch and Bound Principles

Abstract

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.