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When Simpler is Better: Automated Configuration of a University Timetabling Solver.

, , и . CEC, стр. 1-8. IEEE, (2023)

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Nadarajen Veerapen

 

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Analysis of Search Landscape Samplers for Solver Performance Prediction on a University Timetabling Problem., , и . PPSN (1), том 13398 из Lecture Notes in Computer Science, стр. 548-561. Springer, (2022)Neural Architecture Search: A Visual Analysis., и . PPSN (1), том 13398 из Lecture Notes in Computer Science, стр. 603-615. Springer, (2022)A hybrid CP/MOLS approach for multi-objective imbalanced classification., , , , , и . GECCO, стр. 723-731. ACM, (2021)An Approximate Method for Integrated Stochastic Replenishment Planning with Supplier Selection., , , и . ICORES, стр. 80-88. SCITEPRESS, (2020)Improving the Relevance of Artificial Instances for Curriculum-Based Course Timetabling through Feasibility Prediction., , и . GECCO Companion, стр. 203-206. ACM, (2023)Inferring Future Landscapes: Sampling the Local Optima Level., , , и . Evol. Comput., 28 (4): 621-641 (2020)CLAHC - custom late acceptance hill climbing: first results on TSP., , , и . GECCO Companion, стр. 1970-1973. ACM, (2021)Shift Scheduling and Employee Rostering: An Evolutionary Ruin & Stochastic Recreate Solution., , , , , , и . CEEC, стр. 19-23. IEEE, (2018)Investigating the landscape of a hybrid local search approach for a timetabling problem., , и . GECCO Companion, стр. 1665-1673. ACM, (2021)Exploiting landscape features for fitness prediction in university timetabling., , и . GECCO Companion, стр. 192-195. ACM, (2022)