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We're not gonna break it!: consistency-preserving operators for efficient product line configuration., , , , and . SPLC (A), page 255. ACM, (2022)Automatic Generation of Atomic Consistency Preserving Search Operators for Search-Based Model Engineering., , and . MoDELS, page 106-116. IEEE, (2019)We're Not Gonna Break It! Consistency-Preserving Operators for Efficient Product Line Configuration., , , , and . IEEE Trans. Software Eng., 49 (3): 1102-1117 (March 2023)Searching for Optimal Models: Comparing Two Encoding Approaches., , , , , , and . J. Object Technol., 18 (3): 6:1-22 (2019)Preface to MDE Intelligence 2019: 1st Workshop on Artificial Intelligence and Model-Driven Engineering., , , and . MoDELS (Companion), page 168-169. IEEE, (2019)Towards Anonymizing Intermodal Mobility Data for Smart Cities., , , , , , , and . GeoPrivacy@SIGSPATIAL, page 24-27. ACM, (2023)Automatic generation of atomic multiplicity-preserving search operators for search-based model engineering., , and . Softw. Syst. Model., 20 (6): 1857-1887 (2021)Acapulco: an extensible tool for identifying optimal and consistent feature model configurations., , , , and . SPLC (B), page 50-53. ACM, (2022)Towards Scalable Search-Based Model Engineering with MDEOptimiser Scale., and . MoDELS (Companion), page 189-195. IEEE, (2019)Searching for Optimal Models: Comparing Two Encoding Approaches., , , , , , and . SE, volume P-300 of LNI, page 101-103. Gesellschaft für Informatik e.V., (2020)