Parties d'ouvrages collectifs (2)
  1. 1. Franzin, A., & Stützle, T. (2023). Simulated Annealing. In IEEE CIS Open Book on Introduction to Computational Intelligence - Volume 1 (p. 29). IEEE CIS. doi:10.5281/zenodo.7562924
  2. 2. Silva Munoz, M., Calderon, G., Franzin, A., & Bersini, H. (2021). Determining a consistent experimental setup for benchmarking and optimizing databases. In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO Companion 2021 (pp. 1614-1621). ACM Press. doi:10.1145/3449726.3463180
    3.   Articles dans des revues avec comité de lecture (11)
  3. 1. Franzin, A. (2023). Empirical analysis of stochastic local search behaviour: connecting structure, components and landscape. 4OR, 21(1), 179-180. doi:10.1007/s10288-022-00511-7
  4. 2. Franzin, A., & Stützle, T. (2022). A landscape-based analysis of fixed temperature and simulated annealing. European journal of operational research. doi:10.1016/j.ejor.2022.04.014
  5. 3. Franzin, A., & Stützle, T. (2021). A Causal Framework for Understanding Optimisation Algorithms. Lecture notes in computer science, 12641 LNAI, 140-145. doi:10.1007/978-3-030-73959-1_13
  6. 4. Silva Munoz, M., Franzin, A., & Bersini, H. (2021). Automatic configuration of the Cassandra database using irace. PeerJ Computer Science, 7, 1-35. doi:10.7717/peerj-cs.634
  7. 5. Franzin, A., Gyory, R., Nadé, J. C., Aubert, G., Klenkle, G., & Bersini, H. (2020). Philéas: Anomaly Detection for IoT Monitoring. BNAIC, 56-70.
  8. 6. Franzin, A., & Stützle, T. (2019). Revisiting simulated annealing: A component-based analysis. Computers & operations research, 104, 191-206. doi:10.1016/j.cor.2018.12.015
  9. 7. Franzin, A., & Stützle, T. (2018). Comparison of acceptance criteria in randomized local searches. Lecture notes in computer science, 10764 LNCS, 16-29. doi:10.1007/978-3-319-78133-4_2
  10. 8. Perez Caceres, L., Pagnozzi, F., Franzin, A., & Stützle, T. (2018). Automatic configuration of GCC using irace. Lecture notes in computer science, 10764 LNCS, 202-216. doi:10.1007/978-3-319-78133-4_15
  11. 9. Franzin, A., Perez Caceres, L., & Stützle, T. (2018). Effect of transformations of numerical parameters in automatic algorithm configuration. Optimization Letters, 12(8), 1741-1753.
  12. 10. Franzin, A., Sambo, F., & Di Camillo, B. (2017). Bnstruct: An R package for Bayesian Network structure learning in the presence of missing data. Bioinformatics, 33(8), 1250-1252. doi:10.1093/bioinformatics/btw807
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