Michael Affenzeller

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Michael Affenzeller

FH-Prof. PD DI Dr.

 https://orcid.org/0000-0001-5692-5940
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  • 2023

    A domain specific language for distributed modeling

    Zenisek, J., Bachinger, F., Pitzer, E., Wagner, S., Falkner, D., Lopez, A. & Affenzeller, M., 2023, 35th European Modeling and Simulation Symposium, EMSS 2023. Affenzeller, M., Bruzzone, A. G., Jimenez, E., Longo, F. & Petrillo, A. (eds.). Cal-Tek srl, (European Modeling and Simulation Symposium, EMSS; vol. 2023-September).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

  • Analysis and Handling of Dynamic Problem Changes in Open-Ended Optimization

    Karder, J., Werth, B., Beham, A., Wagner, S. & Affenzeller, M., 10 Feb 2023, Computer Aided Systems Theory – EUROCAST 2022 - 18th International Conference, Revised Selected Papers. Moreno-Díaz, R., Pichler, F. & Quesada-Arencibia, A. (eds.). Cham: Springer, p. 61-68 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13789 LNCS).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    2 Citations (Scopus)

  • A New Acquisition Function for Multi-objective Bayesian Optimization: Correlated Probability of Improvement

    Yang, K., Chen, K., Affenzeller, M. & Werth, B., 15 Jul 2023, GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, p. 2308-2317 10 p. (GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    Open Access
    1 Citation (Scopus)

  • Evaluating Machine Learning and Heuristic Optimization Based Surrogates as a Replacement for a Complex Building Simulation Model

    Kefer, K., Haijes, S., Mörth, M., Heimrath, R., Mach, T., Kaisermayer, V., Zemann, C., Muschick, D., Burlacu, B., Winkler, S. & Affenzeller, M., 2023, 11th International Workshop on Simulation for Energy, Sustainable Development and Environment, SESDE 2023. Bruzzone, A. G., Janosy, J. S., Nicoletti, L. & Zacharewicz, G. (eds.). Cal-Tek srl, (Proceedings of the International Workshop on Simulation for Energy, Sustainable Development and Environment, SESDE; vol. 2023-September).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    Open Access

  • Evolutionary Algorithms for Segment Optimization in Vectorial GP

    Fleck, P., Silva, S., Winkler, S., Vanneschi, L., Kommenda, M. & Affenzeller, M., 15 Jul 2023, GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, p. 439-442 4 p. (GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    Open Access

  • Gradients of Acquisition Functions for Bi-objective Bayesian optimization

    Yang, K., Liu, S., Affenzeller, M. & Dong, G., 2023, ICNC-FSKD 2023 - 2023 19th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery. Zhao, L., Sun, G., Li, K., Xiao, Z. & Wang, L. (eds.). Institute of Electrical and Electronics Engineers Inc., (ICNC-FSKD 2023 - 2023 19th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

  • Implicit Directed Acyclic Graphs (DAGs) for Parallel Outlier/Anomaly Detection Ensembles

    Muhr, D., Affenzeller, M. & Küng, J., 2023, Artificial Intelligence Applications and Innovations - 19th IFIP WG 12.5 International Conference, AIAI 2023, Proceedings. Maglogiannis, I., Iliadis, L., MacIntyre, J. & Dominguez, M. (eds.). Springer, p. 3-15 13 p. (IFIP Advances in Information and Communication Technology; vol. 676 IFIP).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

  • Surrogate-assisted Multi-objective Optimization via Genetic Programming Based Symbolic Regression

    Yang, K. & Affenzeller, M., 2023, Evolutionary Multi-Criterion Optimization - 12th International Conference, EMO 2023, Proceedings. Emmerich, M., Deutz, A., Wang, H., Kononova, A. V., Naujoks, B., Li, K., Miettinen, K. & Yevseyeva, I. (eds.). Springer, p. 176-190 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13970 LNCS).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    Open Access
    1 Citation (Scopus)

  • Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation

    Duy, D. N., Affenzeller, M. & Nikzad-Langerodi, R., 15 Jul 2023, GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, p. 2420-2428 9 p. (GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    1 Citation (Scopus)
  • 2022

    Dynamic Vehicle Routing with Time-Linkage: From Problem States to Algorithm Performance

    Werth, B., Pitzer, E., Karder, J., Wagner, S. & Affenzeller, M., 2022, Computer Aided Systems Theory – EUROCAST 2022: 18th International Conference. Moreno-Díaz, R., Pichler, F. & Quesada-Arencibia, A. (eds.). Springer, p. 69-77 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13789 LNCS).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    1 Citation (Scopus)

  • Hybrid (CPU/GPU) Exact Nearest Neighbors Search in High-Dimensional Spaces

    Muhr, D. & Affenzeller, M., 2022, Artificial Intelligence Applications and Innovations - 18th IFIP WG 12.5 International Conference, AIAI 2022, Proceedings. Maglogiannis, I., Iliadis, L., Macintyre, J. & Cortez, P. (eds.). Springer, p. 112-123 12 p. (IFIP Advances in Information and Communication Technology; vol. 647 IFIP).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    3 Citations (Scopus)

  • Improving the Flexibility of Shape-Constrained Symbolic Regression with Extended Constraints

    Piringer, D., Wagner, S., Haider, C., Fohler, A., Silber, S. & Affenzeller, M., 2022, Computer Aided Systems Theory – EUROCAST 2022: 18th International Conference. Moreno-Díaz, R., Pichler, F. & Quesada-Arencibia, A. (eds.). Springer, p. 155-163 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13789 LNCS).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

  • Integrated Machine Learning in Open-Ended Crane Scheduling: Learning Movement Speeds and Service Times

    Karder, J. A., Beham, A., Werth, B., Wagner, S. & Affenzeller, M., 2022, Procedia Computer Science. Vol. 200. p. 1031-1040 10 p. (Procedia Computer Science).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    Open Access
    2 Citations (Scopus)

  • Outlier/Anomaly Detection of Univariate Time Series: A Dataset Collection and Benchmark

    Muhr, D. & Affenzeller, M., 2022, Big Data Analytics and Knowledge Discovery - 24th International Conference, DaWaK 2022, Proceedings. Wrembel, R., Gamper, J., Kotsis, G., Khalil, I. & Tjoa, A. M. (eds.). Springer, p. 163-169 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13428 LNCS).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    4 Citations (Scopus)

  • Prescriptive Analytics: When Data- and Simulation-based Models Interact in a Cooperative Way

    Affenzeller, M., Bogl, M., Fischer, L., Sobieczky, F., Yang, K. & Zenisek, J., 2022, Proceedings - 2022 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2022. Buchberger, B., Marin, M., Negru, V. & Zaharie, D. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1-8 8 p. (Proceedings - 2022 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2022).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    1 Citation (Scopus)

  • Shapley Value Based Variable Interaction Networks for Data Stream Analysis.

    Zenisek, J., Dorl, S., Falkner, D., Gaisberger, L., Winkler, S. M. & Affenzeller, M., 2022, Computer Aided Systems Theory – EUROCAST 2022 - 18th International Conference, Revised Selected Papers. Moreno-Díaz, R., Pichler, F. & Quesada-Arencibia, A. (eds.). p. 130-138 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13789 LNCS).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    1 Citation (Scopus)

  • Utilizing Interpretable Machine Learning to detect Dynamics in Energy Communities

    Zenisek, J., Bachinger, F., Pitzer, E., Wagner, S. & Affenzeller, M., 2022, 34th European Modeling and Simulation Symposium, EMSS 2022. Affenzeller, M., Bruzzone, A. G., Jimenez, E., Longo, F. & Petrillo, A. (eds.). DIME UNIVERSITY OF GENOA, 042. (34th European Modeling and Simulation Symposium, EMSS 2022).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    2 Citations (Scopus)
  • 2021

    Cheating Like The Neighbors: Logarithmic Complexity For Fitness Evaluation In Genetic Algorithms

    Pitzer, E. & Affenzeller, M., 9 Aug 2021, 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings. IEEE, p. 1431-1438 8 p. (2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    1 Citation (Scopus)

  • Multi tree operators for genetic programming to identify optimal energy flow controllers

    Kefer, K., Hanghofer, R., Kefer, P., Stöger, M., Hofer, B., Affenzeller, M. & Winkler, S., 7 Jul 2021, GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, p. 1579-1586 8 p. (GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    Open Access

  • Optimization of Complex Thermally Electrically Coupled Buildings using Genetic Programming to Identify Optimal Energy Flow Controllers

    Kefer, K., Kefer, P., Hanghofer, R., Stöger, M., Hofer, B., Affenzeller, M. & Winkler, S., 2021, 9th International Workshop on Simulation for Energy, Sustainable Development and Environment, SESDE 2021. Bruzzone, A., Janosy, J. S., Nicoletti, L. & Zacharewicz, G. (eds.). DIME UNIVERSITY OF GENOA, p. 55-65 11 p. (9th International Workshop on Simulation for Energy, Sustainable Development and Environment, SESDE 2021).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

  • 2020

    A Model-Based Learning Approach for Controlling the Energy Flows of a Residential Household Using Genetic Programming to Perform Symbolic Regression

    Kefer, K., Hanghofer, R., Kefer, P., Stöger, M., Affenzeller, M., Winkler, S., Wagner, S. & Hofer, B., 2020, Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers. Moreno-Díaz, R., Quesada-Arencibia, A. & Pichler, F. (eds.). Springer, p. 405-412 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12013 LNCS).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    3 Citations (Scopus)

  • Concept Drift Detection with Variable Interaction Networks

    Zenisek, J., Kronberger, G., Wolfartsberger, J., Wild, N. & Affenzeller, M., 2020, Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers. Moreno-Díaz, R., Quesada-Arencibia, A. & Pichler, F. (eds.). Springer, p. 296-303 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12013 LNCS).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    5 Citations (Scopus)

  • Effects of Arrival Uncertainty on Solver Performance in Dynamic Stacking Problems

    Leitner, S. J., Beham, A., Wagner, S. & Affenzeller, M., 2020, 32nd European Modeling and Simulation Symposium, EMSS 2020. Affenzeller, M., Bruzzone, A. G., Longo, F. & Petrillo, A. (eds.). p. 193-200 8 p. (32nd European Modeling and Simulation Symposium, EMSS 2020).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    Open Access
    2 Citations (Scopus)

  • Genetic Programming Based Evolvement of Models of Models

    Semenkina, M., Burlacu, B. & Affenzeller, M., 2020, Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers. Moreno-Díaz, R., Quesada-Arencibia, A. & Pichler, F. (eds.). Springer, p. 387-395 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12013 LNCS).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    1 Citation (Scopus)

  • Investigating the Dynamic Block Relocation Problem

    Raggl, S. J., Beham, A. & Affenzeller, M., 2020, Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers. Moreno-Díaz, R., Quesada-Arencibia, A. & Pichler, F. (eds.). Springer, p. 438-445 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12013 LNCS).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    3 Citations (Scopus)

  • Optimierung der Energiekosten und Analyse der Netzunterstützung eines Gebäudes mit Hilfe Genetischer Programmierung und Symbolischer Regression

    Kefer, K., Hanghofer, R., Kefer, P., Stöger, F., Hofer, F., Affenzeller, M. & Winkler, S., 12 Feb 2020, EnInnov2020: Energy for Future - Wege zur Klimaneutralität. p. 1-10 10 p.

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

  • Solution approaches for the dynamic stacking problem

    Raggl, S., Beham, A., Wagner, S. & Affenzeller, M., 8 Jul 2020, GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, p. 1652-1660 9 p. (GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    8 Citations (Scopus)

  • Solving a flexible resource-constrained project scheduling problem under consideration of activity priorities

    Hauder, V., Beham, A., Raggl, S. J. & Affenzeller, M., 2020, Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers. Moreno-Díaz, R., Quesada-Arencibia, A. & Pichler, F. (eds.). Springer, p. 327-334 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12013 LNCS).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution

  • Surrogate-Assisted Fitness Landscape Analysis for Computationally Expensive Optimization

    Werth, B., Pitzer, E. & Affenzeller, M., 2020, Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers. Moreno-Díaz, R., Quesada-Arencibia, A. & Pichler, F. (eds.). Springer, p. 247-254 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12013 LNCS).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    2 Citations (Scopus)

  • Towards a stream based machine learning testbed

    Zenisek, J., Wolfartsberger, J., Wild, N. & Affenzeller, M., 2020, 32nd European Modeling and Simulation Symposium, EMSS 2020. Affenzeller, M., Bruzzone, A. G., Longo, F. & Petrillo, A. (eds.). DIME UNIVERSITY OF GENOA, p. 305-310 6 p. (32nd European Modeling and Simulation Symposium, EMSS 2020).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

  • White Box vs. Black Box Modeling: On the Performance of Deep Learning, Random Forests, and Symbolic Regression in Solving Regression Problems

    Affenzeller, M., Burlacu, B., Dorfer, V., Dorl, S., Halmerbauer, G., Königswieser, T., Kommenda, M., Vetter, J. & Winkler, S., 2020, Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers. Moreno-Díaz, R., Quesada-Arencibia, A. & Pichler, F. (eds.). Springer, p. 288-295 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12013 LNCS).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    4 Citations (Scopus)

  • “Incremental” Evaluation for Genetic Crossover

    Pitzer, E. & Affenzeller, M., 2020, Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers. Moreno-Díaz, R., Quesada-Arencibia, A. & Pichler, F. (eds.). Springer, p. 396-404 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12013 LNCS).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    1 Citation (Scopus)
  • 2019

    A new solution encoding for simulation-based multi-objective workforce qualification optimization

    Karder, J., Hauder, V., Beham, A., Altendorfer, K. & Affenzeller, M., 2019, 31st European Modeling and Simulation Symposium, EMSS 2019. Affenzeller, M., Bruzzone, A. G., Longo, F. & Pereira, G. (eds.). DIME UNIVERSITY OF GENOA, p. 254-261 8 p. (31st European Modeling and Simulation Symposium, EMSS 2019).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    4 Citations (Scopus)

  • Local Optima Networks in Solving Algorithm Selection Problem for TSP

    Bożejko, W., Gnatowski, A., Niżyński, T., Affenzeller, M. & Beham, A., 2019, Contemporary Complex Systems and Their Dependability - Proceedings of the 13th International Conference on Dependability and Complex Systems DepCoS-RELCOMEX, 2018. Kacprzyk, J., Zamojski, W., Mazurkiewicz, J., Sugier, J. & Walkowiak, T. (eds.). Springer, p. 83-93 11 p. (Advances in Intelligent Systems and Computing; vol. 761).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution

    13 Citations (Scopus)

  • Mining Patterns from Genetic Improvement Experiments

    Krauss, O., Mössenböck, H. & Affenzeller, M., May 2019, Proceedings - 2019 IEEE/ACM 6th International Workshop on Genetic Improvement, GI 2019. Institute of Electrical and Electronics Engineers Inc., p. 28-29 2 p. 8823638. (Proceedings - 2019 IEEE/ACM 6th International Workshop on Genetic Improvement, GI 2019).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    1 Citation (Scopus)

  • Modeling sensor networks for predictive maintenance

    Zenisek, J., Wolfartsberger, J., Sievi, C. & Affenzeller, M., 2019, On the Move to Meaningful Internet Systems: OTM 2018 Workshops - Confederated International Workshops: EI2N, FBM, ICSP, and Meta4eS 2018, Revised Selected Papers. Bollen, P., Ciuciu, I., Meersman, R., Panetto, H., Guédria, W. & Debruyne, C. (eds.). Springer, p. 184-188 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11231 LNCS).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    2 Citations (Scopus)

  • Multi-objective optimization for a scheduling problem in the steel industry

    Hauder, V., Beham, A., Raggl, S. J. & Affenzeller, M., 2019, 31st European Modeling and Simulation Symposium, EMSS 2019. Affenzeller, M., Bruzzone, A. G., Longo, F. & Pereira, G. (eds.). DIME UNIVERSITY OF GENOA, p. 241-245 5 p. (31st European Modeling and Simulation Symposium, EMSS 2019).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    1 Citation (Scopus)

  • Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure

    Burlacu, B., Affenzeller, M., Kronberger, G. & Kommenda, M., Jun 2019, 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings. IEEE Computational Intelligence Society, p. 2175-2182 8 p. 8790162. (2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    8 Citations (Scopus)

  • Uncertainty in real-world steel stacking problems

    Beham, A., Raggl, S. J., Wagner, S. & Affenzeller, M., 13 Jul 2019, GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, p. 1438-1440 3 p. (GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    7 Citations (Scopus)
  • 2018

    A fair performance comparison of different surrogate optimization strategies

    Werth, B., Pitzer, E. & Affenzeller, M., 2018, Computer Aided Systems Theory – EUROCAST 2017 - 16th International Conference, Revised Selected Papers. Moreno-Diaz, R., Quesada-Arencibia, A. & Pichler, F. (eds.). Springer, p. 408-415 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10671 LNCS).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    1 Citation (Scopus)

  • A general solution approach for the location routing problem

    Hauder, V., Karder, J., Beham, A., Wagner, S. & Affenzeller, M., 2018, Computer Aided Systems Theory – EUROCAST 2017 - 16th International Conference, Revised Selected Papers. Moreno-Diaz, R., Quesada-Arencibia, A. & Pichler, F. (eds.). Springer, p. 257-265 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10671 LNCS).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    2 Citations (Scopus)

  • Algorithm selection on generalized quadratic assignment problem landscapes

    Beham, A., Wagner, S. & Affenzeller, M., 2 Jul 2018, GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, Inc, p. 253-260 8 p. (GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    8 Citations (Scopus)

  • Analysing a hybrid model-based evolutionary algorithm for a hard grouping problem

    Raggl, S. J., Beham, A., Wagner, S. & Affenzeller, M., 2018, Computer Aided Systems Theory – EUROCAST 2017 - 16th International Conference, Revised Selected Papers. Moreno-Diaz, R., Quesada-Arencibia, A. & Pichler, F. (eds.). Springer, p. 347-354 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10671 LNCS).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    2 Citations (Scopus)

  • Analysis and visualization of the impact of different parameter configurations on the behavior of evolutionary algorithms

    Wagner, S., Beham, A. & Affenzeller, M., 2018, Computer Aided Systems Theory – EUROCAST 2017 - 16th International Conference, Revised Selected Papers. Moreno-Diaz, R., Quesada-Arencibia, A. & Pichler, F. (eds.). Springer, p. 439-446 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10671 LNCS).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

  • Analysis of Schema Frequencies in Genetic Programming

    Burlacu, B., Affenzeller, M., Kommenda, M., Kronberger, G. & Winkler, S., 2018, Computer Aided Systems Theory – EUROCAST 2017 - 16th International Conference, Revised Selected Papers. Moreno-Diaz, R., Quesada-Arencibia, A. & Pichler, F. (eds.). p. 432-438 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10671 LNCS).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    2 Citations (Scopus)

  • Asynchronous surrogate-assisted optimization networks

    Karder, J., Beham, A., Werth, B., Wagner, S. & Affenzeller, M., 6 Jul 2018, GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, p. 1266-1267 2 p. (GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    1 Citation (Scopus)

  • Comparing machine learning methods on concept drift detection for Predictive Maintenance

    Zenisek, J., Wolfartsberger, J., Sievi, C. & Affenzeller, M., 2018, 30th European Modeling and Simulation Symposium, EMSS 2018. Merkuryev, Y., Piera, M. A., Longo, F., Bruzzone, A. G., Affenzeller, M. & Jimenez, E. (eds.). DIME UNIVERSITY OF GENOA, p. 115-122 8 p. (30th European Modeling and Simulation Symposium, EMSS 2018).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    1 Citation (Scopus)

  • Confidence-Based Ensemble Modeling in Medical Data Mining

    Kammerer, L. & Affenzeller, M., 6 Jul 2018, GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion. ACM Press, p. 163-164 2 p. (GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    1 Citation (Scopus)

  • Discrete real-world problems in a black-box optimization benchmark

    Raggl, S. J., Beham, A., Hauder, V., Wagner, S. & Affenzeller, M., 6 Jul 2018, GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, p. 1745-1752 8 p. (GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

    2 Citations (Scopus)

  • Distributed simulation execution on a high-performance cluster using heuristiclab hive

    Karder, J., Beham, A., Wagner, S. & Affenzeller, M., 2018, 30th European Modeling and Simulation Symposium, EMSS 2018. Merkuryev, Y., Piera, M. A., Longo, F., Bruzzone, A. G., Affenzeller, M. & Jimenez, E. (eds.). DIME UNIVERSITY OF GENOA, p. 107-114 8 p. (30th European Modeling and Simulation Symposium, EMSS 2018).

    Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

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