TY - GEN
T1 - How to select MDAO workflows
AU - Sanchez Perez Moreno, Sebastian
AU - Zaaijer, Michiel B
PY - 2018
Y1 - 2018
N2 - Multidisciplinary Design Analysis and Optimisation (MDAO) workflows consist of coupled tools driven by an algorithm for a specific purpose, e.g. optimisation. MDAO users may have at their disposal a set of tools of varying levels of fidelity. As a result, many permutations or MDAO workflows may arise, for which no clear methodology exists to evaluate, compare and rank them based on their performance. Our research question is then how to find the most useful MDAO workflows for a given purpose. This paper provides a guideline for solving this multiple criteria decision analysis problem. Our guideline includes a method to define the criteria and metrics for evaluating the performance of MDAO workflows, a strategy to aggregate the scores, and an optimisation algorithm forcategorical variables used to find the best alternatives. We apply this guideline to the offshore wind farm layout optimisation problem to demonstrate its use. This case study evidenced how critical t
AB - Multidisciplinary Design Analysis and Optimisation (MDAO) workflows consist of coupled tools driven by an algorithm for a specific purpose, e.g. optimisation. MDAO users may have at their disposal a set of tools of varying levels of fidelity. As a result, many permutations or MDAO workflows may arise, for which no clear methodology exists to evaluate, compare and rank them based on their performance. Our research question is then how to find the most useful MDAO workflows for a given purpose. This paper provides a guideline for solving this multiple criteria decision analysis problem. Our guideline includes a method to define the criteria and metrics for evaluating the performance of MDAO workflows, a strategy to aggregate the scores, and an optimisation algorithm forcategorical variables used to find the best alternatives. We apply this guideline to the offshore wind farm layout optimisation problem to demonstrate its use. This case study evidenced how critical t
UR - http://resolver.tudelft.nl/uuid:00ede5a9-7686-4c94-8d28-9424a523dda1
U2 - 10.2514/6.2018-0654
DO - 10.2514/6.2018-0654
M3 - Conference contribution
BT - 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference
PB - American Institute of Aeronautics and Astronautics Inc. (AIAA)
T2 - AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2018
Y2 - 8 January 2018 through 12 January 2018
ER -