This paper presents an intelligent approach to support engineers with performing computational simulation of new developments and prototypes. With multiple interacting physical effects and large three dimensional models the choice of the right solution strategy is crucial for a correct solution and an acceptable calculation time. The presented multi-agent system can solve these simulation tasks using distributed heterogeneous computation resources with the objective to reduce the calculation time. An important factor for the criterion time is the choice of the linear solver. Here a case-based reasoning concept is introduced to improve the decisions in the multi-agent system. Allowing each agent to solve its problem part by using appropriate solution methods, a decentralized architecture with autonomous software agents is provided.
%0 Conference Paper
%1 Voegeli_2018
%A Vögeli, Desirée
%A Grabmaier, Sebastian
%A Jüttner, Matthias
%A Weyrich, Michael
%A Göhner, Peter
%A Rucker, Wolfgang M.
%B Proceedings of the 10th International Conference on Agents and Artificial Intelligence
%D 2018
%I SCITEPRESS - Science and Technology Publications
%K software-agents
%P 200-207
%R 10.5220/0006590402000207
%T Intelligent and Distributed Solving of Multiphysics Problems Coordinated by Software Agents - An Intelligent Approach for Decentralized Simulations
%U https://doi.org/10.5220%2F0006590402000207
%V 1
%X This paper presents an intelligent approach to support engineers with performing computational simulation of new developments and prototypes. With multiple interacting physical effects and large three dimensional models the choice of the right solution strategy is crucial for a correct solution and an acceptable calculation time. The presented multi-agent system can solve these simulation tasks using distributed heterogeneous computation resources with the objective to reduce the calculation time. An important factor for the criterion time is the choice of the linear solver. Here a case-based reasoning concept is introduced to improve the decisions in the multi-agent system. Allowing each agent to solve its problem part by using appropriate solution methods, a decentralized architecture with autonomous software agents is provided.
%@ 978-989-758-275-2
@inproceedings{Voegeli_2018,
abstract = {This paper presents an intelligent approach to support engineers with performing computational simulation of new developments and prototypes. With multiple interacting physical effects and large three dimensional models the choice of the right solution strategy is crucial for a correct solution and an acceptable calculation time. The presented multi-agent system can solve these simulation tasks using distributed heterogeneous computation resources with the objective to reduce the calculation time. An important factor for the criterion time is the choice of the linear solver. Here a case-based reasoning concept is introduced to improve the decisions in the multi-agent system. Allowing each agent to solve its problem part by using appropriate solution methods, a decentralized architecture with autonomous software agents is provided.},
added-at = {2018-02-05T13:59:37.000+0100},
author = {Vögeli, Desir{\'{e}}e and Grabmaier, Sebastian and Jüttner, Matthias and Weyrich, Michael and Göhner, Peter and Rucker, Wolfgang M.},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/27644d429899afa878621dbcae17a0cf4/iaswebserv},
booktitle = {Proceedings of the 10th International Conference on Agents and Artificial Intelligence},
doi = {10.5220/0006590402000207},
interhash = {abf1a601f253e20c7473695f01c4b0c2},
intrahash = {7644d429899afa878621dbcae17a0cf4},
isbn = {978-989-758-275-2},
keywords = {software-agents},
pages = {200-207},
publisher = {{SCITEPRESS} - Science and Technology Publications},
timestamp = {2018-02-05T13:01:52.000+0100},
title = {Intelligent and Distributed Solving of Multiphysics Problems Coordinated by Software Agents - An Intelligent Approach for Decentralized Simulations},
url = {https://doi.org/10.5220%2F0006590402000207},
volume = 1,
year = 2018
}
