@article{AndersSchiendorferSiefertetal.2015, author = {Anders, Gerrit and Schiendorfer, Alexander and Siefert, Florian and Stegh{\"o}fer, Jan-Philipp and Reif, Wolfgang}, title = {Cooperative Resource Allocation in Open Systems of Systems}, volume = {10}, pages = {11}, journal = {ACM Transactions on Autonomous and Adaptive Systems}, number = {2}, publisher = {ACM}, address = {New York}, issn = {1556-4665}, doi = {https://dl.acm.org/doi/10.1145/2700323}, year = {2015}, language = {en} } @inproceedings{SchiendorferSteghoeferKnappetal.2013, author = {Schiendorfer, Alexander and Stegh{\"o}fer, Jan-Philipp and Knapp, Alexander and Nafz, Florian and Reif, Wolfgang}, title = {Constraint Relationships for Soft Constraints}, booktitle = {Research and Development in Intelligent Systems XXX: Incorporating Applications and Innovations in Intelligent Systems XXI: Proceedings of AI-2013}, editor = {Bramer, Max and Petridis, Miltos}, publisher = {Springer}, address = {Cham}, isbn = {978-3-319-02621-3}, doi = {https://doi.org/10.1007/978-3-319-02621-3_17}, pages = {241 -- 255}, year = {2013}, language = {en} } @inproceedings{SchiendorferSteghoeferReif2014, author = {Schiendorfer, Alexander and Stegh{\"o}fer, Jan-Philipp and Reif, Wolfgang}, title = {Synthesis and Abstraction of Constraint Models for Hierarchical Resource Allocation Problems}, booktitle = {Proceedings of the 6th International Conference on Agents and Artificial Intelligence: Volume 2: ICAART}, publisher = {SciTePress}, address = {Set{\´u}bal}, isbn = {978-989-758-016-1}, doi = {https://doi.org/10.5220/0004757700150027}, pages = {15 -- 27}, year = {2014}, abstract = {Many resource allocation problems are hard to solve even with state-of-the-art constraint optimisation software upon reaching a certain scale. Our approach to deal with this increasing complexity is to employ a hierarchical "regio-central" mechanism. It requires two techniques: (1) the synthesis of several models of agents providing a certain resource into a centrally and efficiently solvable optimisation problem and (2) the creation of an abstracted version of this centralised model that reduces its complexity when passing it on to higher layers. We present algorithms to create such synthesised and abstracted models in a fully automated way and demonstrate empirically that the obtained solutions are comparable to central solutions but scale better in an example taken from energy management.}, language = {en} } @inproceedings{KnappSchiendorferReif2014, author = {Knapp, Alexander and Schiendorfer, Alexander and Reif, Wolfgang}, title = {Quality over Quantity in Soft Constraints}, booktitle = {Proceedings: 2014 IEEE 26th International Conference on Tools with Artificial Intelligence: ICTAI 2014}, publisher = {IEEE}, address = {Los Alamitos}, isbn = {978-1-4799-6572-4}, doi = {https://doi.org/10.1109/ICTAI.2014.75}, pages = {453 -- 460}, year = {2014}, language = {en} } @inproceedings{AndersSchiendorferSteghoeferetal.2014, author = {Anders, Gerrit and Schiendorfer, Alexander and Stegh{\"o}fer, Jan-Philipp and Reif, Wolfgang}, title = {Robust Scheduling in a Self-Organizing Hierarchy of Autonomous Virtual Power Plants}, booktitle = {ARCS 2014 - 27th International Conference on Architecture of Computing Systems: Workshop Proceedings}, editor = {Stechele, Walter and Wild, Thomas}, publisher = {VDE Verlag}, address = {Berlin}, isbn = {978-3-8007-3579-2}, url = {https://www.vde-verlag.de/proceedings-en/563579019.html}, year = {2014}, language = {en} } @inproceedings{SchiendorferLassnerAndersetal.2015, author = {Schiendorfer, Alexander and Lassner, Christoph and Anders, Gerrit and Reif, Wolfgang and Lienhart, Rainer}, title = {Active Learning for Efficient Sampling of Control Models of Collectives}, booktitle = {Proceedings: 2015 IEEE 9th International Conference on Self-Adaptive and Self-Organizing Systems: SASO 2015}, publisher = {IEEE}, address = {Los Alamitos}, doi = {https://doi.org/10.1109/SASO.2015.13}, pages = {51 -- 60}, year = {2015}, language = {en} } @inproceedings{SchiendorferWauteletReif2015, author = {Schiendorfer, Alexander and Wautelet, Yves and Reif, Wolfgang}, title = {Modeling Hierarchical Resources Within a Unified Ontology}, booktitle = {Proceedings of the International Conference on Agents and Artificial Intelligence}, subtitle = {A Position Paper}, editor = {Loiseau, Stephane and Filipe, Joaquim and Duval, B{\´e}atrice and van den Herik, Jaap}, publisher = {SciTePress}, address = {Set{\´u}bal}, isbn = {978-989-758-074-1}, doi = {https://doi.org/10.5220/0005289006140619}, pages = {614 -- 619}, year = {2015}, abstract = {Resource-Intensive Software Ecosystems (RISE) can mainly be found in production management but also in virtually any socio-technical environment. RISE appear prominently in the form of smart grids or cloud environments where optimizing resource utilization and allocation becomes the most important aspect for competitive service provision. In such a context, the need for unified ontologies supported by adaptive software (i.e., software able to learn from and act on its environment) is highly attractive. Indeed, resources are mostly not monolithic entities but active and collaborative agents often organized in a hierarchical manner. A hierarchy implies multiple levels of abstraction leading to resource allocation on different levels of organization -- with abstractions being relevant for both inter- and intra-organization resource management. Once adequately defined, the use of constraint-based optimization algorithms on those multiple levels can provide efficient resource allocation. We apply, in this paper, ontological elements to model resources in a unified manner on multiple levels onto an example taken from distributed energy management. Then we present algorithmic ideas to organize the hierarchy of these resources.}, language = {en} } @inproceedings{SchiendorferSteghoeferReif2014, author = {Schiendorfer, Alexander and Stegh{\"o}fer, Jan-Philipp and Reif, Wolfgang}, title = {Synthesised Constraint Models for Distributed Energy Management}, booktitle = {Proceedings of the 2014 Federated Conference on Computer Science and Information Systems (FedCSIS)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-83-60810-58-3}, url = {https://ieeexplore.ieee.org/document/6933199}, pages = {1529 -- 1538}, year = {2014}, language = {en} } @article{SchiendorferKnappAndersetal.2018, author = {Schiendorfer, Alexander and Knapp, Alexander and Anders, Gerrit and Reif, Wolfgang}, title = {MiniBrass: Soft constraints for MiniZinc}, volume = {23}, journal = {Constraints}, number = {4}, publisher = {Springer}, address = {Dodrecht}, issn = {1572-9354}, doi = {https://doi.org/10.1007/s10601-018-9289-2}, pages = {403 -- 450}, year = {2018}, language = {en} } @inproceedings{KruetzmannSchiendorferBeratzetal.2020, author = {Kr{\"u}tzmann, Julia and Schiendorfer, Alexander and Beratz, Sergej and Moosburger-Will, Judith and Reif, Wolfgang and Horn, Siegfried}, title = {Learning Controllers for Adaptive Spreading of Carbon Fiber Tows}, booktitle = {Machine Learning, Optimization, and Data Science, 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part II}, editor = {Nicosia, Giuseppe and Ojha, Varun and La Malfa, Emanuele and Jansen, Giorgio and Sciacca, Vincenzo and Pardalos, Panos and Giuffrida, Giovanni and Umeton, Renato}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-64580-9}, doi = {https://doi.org/10.1007/978-3-030-64580-9_6}, pages = {65 -- 77}, year = {2020}, language = {en} }