Systematic Inclusion of End-User Requirements in Optimization Algorithm Selection Applied to Box-Type-Boom-Crane Design
D. Entner, D. Entner, T. Vosgien, C. Münzer, S. Finck, T. Prante, M. Schwarz - Systematic Inclusion of End-User Requirements in Optimization Algorithm Selection Applied to Box-Type-Boom-Crane Design - Applied System Innovation, Vol. 2, No. 3, 2019
To support the selection of the most suitable algorithm for an optimization problem, a decision matrix is introduced. This decision matrix allows for a systematic approach to the algorithm selection problem based on the evaluation of several qualitative and quantitative criteria. It contains customer requirements, like ease of use and comprehensibility, next to the algorithm properties, like convergence behavior or required computational effort. In the presented decision matrix instantiation, overall 18 criteria were selected, requiring 117 relations between these criteria to be defined. The development of the decision matrix is based on the "House of Quality" analysis tool from quality function deployment and the steps performed are detailed. Two optimization problems are presented in the context of engineering the design of box-type-boom cranes. These two problems are solved by two different optimization algorithms each. The problems and the algorithms are described and the results obtained are analyzed. The developed decision matrix is applied to support the selection of the more suitable algorithm for each of the two problems and the obtained results are discussed.