%0 Generic %1 Manolis_explainaility %A Panagiotou, Emmanouil %A Qian, Han %A Wynants, Mareile %A Kriese, Anton %A Marx, Steffen %A Ntoutsi, Eirini %B The 33rd International Ocean and Polar Engineering Conference, Ottawa, Canada, June 2023. %D 2023 %I OnePetro %K myown from:entoutsi aiml_group l3s %N ISOPE-I-23-045 %P 23-45 %T Explainable AI-Based Generation of Offshore Substructure Designs %U https://onepetro.org/ISOPEIOPEC/proceedings-abstract/ISOPE23/All-ISOPE23/524270 %V All Days %X Historically the design of Offshore Wind Turbines (OWT) depends on various influence factors which are set by engineers. Typically, most parameters are determined during the initial design phase and have less consideration on the influences of the entire life-cycle of a structure, leading to the over-exploitation of a single design, like monopiles. In this work, we define the design process as a multi-objective optimization problem and use Artificial Intelligence (AI) to discover multiple optimal solutions, while providing feedback, in the form of feature importance explanations for generated structures. Our approach results in efficient designs, while explanations can improve engineers' understanding of alternative design possibilities.

@conference{Manolis_explainaility, abstract = {Historically the design of Offshore Wind Turbines (OWT) depends on various influence factors which are set by engineers. Typically, most parameters are determined during the initial design phase and have less consideration on the influences of the entire life-cycle of a structure, leading to the over-exploitation of a single design, like monopiles. In this work, we define the design process as a multi-objective optimization problem and use Artificial Intelligence (AI) to discover multiple optimal solutions, while providing feedback, in the form of feature importance explanations for generated structures. Our approach results in efficient designs, while explanations can improve engineers' understanding of alternative design possibilities.}, added-at = {2024-02-28T20:28:22.000+0100}, author = {Panagiotou, Emmanouil and Qian, Han and Wynants, Mareile and Kriese, Anton and Marx, Steffen and Ntoutsi, Eirini}, biburl = {https://www.bibsonomy.org/bibtex/2faa896dc33089faee64ae3058f5b2854/l3s}, booktitle = {The 33rd International Ocean and Polar Engineering Conference, Ottawa, Canada, June 2023.}, eventdate = {June 19 2023}, interhash = {63ffb6a5d12ec192ba9dc7dd86864fcd}, intrahash = {faa896dc33089faee64ae3058f5b2854}, keywords = {myown from:entoutsi aiml_group l3s}, month = {June}, number = {ISOPE-I-23-045}, pages = {23-45}, publisher = {OnePetro}, timestamp = {2024-02-28T20:28:22.000+0100}, title = {Explainable AI-Based Generation of Offshore Substructure Designs }, url = {https://onepetro.org/ISOPEIOPEC/proceedings-abstract/ISOPE23/All-ISOPE23/524270}, volume = {All Days}, year = 2023 }