%0 Book %1 annighoefer2018b %A Annighoefer, Bjoern %B 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC) %D 2018 %K imported myown %T Enabling correct I/O sharing in the combinatorial optimization of large avionics systems %X This article shows how restrictions of physical I/O interfaces in terms of grouping, dual-power, and connector segregation are considered correctly in the combinatorial optimization of avionics architectures like large Integrated Modular Avionics (IMA) systems. For each of the I/O sharing restrictions a constraint formulation for multi-objective Integer Linear Programing (ILP) is developed. The novel constraints are applied for task assignment optimization in a verification example and a real-world example of 536 tasks. Verification shows that the I/O sharing is handled correctly and the real-world application proofs the method to be industrially applicable. Moreover, the influence on the solving speed is investigated. I/O restrictions can rise the optimization time by factor 10, but the loss of the optimization potential is below 10% for the tested objectives and examples.

@book{annighoefer2018b, __markedentry = {[Annighoefer:3]}, abstract = {This article shows how restrictions of physical I/O interfaces in terms of grouping, dual-power, and connector segregation are considered correctly in the combinatorial optimization of avionics architectures like large Integrated Modular Avionics (IMA) systems. For each of the I/O sharing restrictions a constraint formulation for multi-objective Integer Linear Programing (ILP) is developed. The novel constraints are applied for task assignment optimization in a verification example and a real-world example of 536 tasks. Verification shows that the I/O sharing is handled correctly and the real-world application proofs the method to be industrially applicable. Moreover, the influence on the solving speed is investigated. I/O restrictions can rise the optimization time by factor 10, but the loss of the optimization potential is below 10% for the tested objectives and examples.}, added-at = {2019-02-28T16:45:14.000+0100}, author = {Annighoefer, Bjoern}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2b57ea0f01c9c725fc2e3ae7f80cc4e3a/annighoefer}, booktitle = {2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)}, file = {:Annighoefer - EnablingCorrectIoSharingInTheCombinatorial OptimizationOfLargeAvionicsSystems_Dasc2018.pdf:PDF}, interhash = {e23dd2fb32d4f2a2fa33255da49cab9e}, intrahash = {b57ea0f01c9c725fc2e3ae7f80cc4e3a}, keywords = {imported myown}, timestamp = {2020-01-27T08:47:31.000+0100}, title = {Enabling correct I/O sharing in the combinatorial optimization of large avionics systems}, year = 2018 }