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Special issue on "Stochastic Local Search: Recent developments and trends".

, , , , и . ITOR, 27 (5): 2685-2686 (2020)

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Marie-Eléonore Marmion

Marie Eleonore Wied

Yacine Kessaci

Eléonore Möller

Eléonore Junker

 

Другие публикации лиц с тем же именем

Exploiting Promising Sub-Sequences of Jobs to solve the No-Wait Flowshop Scheduling Problem., , и . CoRR, (2019)Preface to the Special Cluster on Stochastic Local Search: Recent Developments and Trends., , , , и . Int. Trans. Oper. Res., 29 (5): 2735-2736 (2022)Improving MOEA/D with Knowledge Discovery. Application to a Bi-objective Routing Problem., , , и . EMO, том 13970 из Lecture Notes in Computer Science, стр. 462-475. Springer, (2023)Multi-objective Automatic Algorithm Configuration for the Classification Problem of Imbalanced Data., , , , , и . CEC, стр. 1-8. IEEE, (2020)New Neighborhood Strategies for the Bi-objective Vehicle Routing Problem with Time Windows., , , и . MIC, том 13838 из Lecture Notes in Computer Science, стр. 45-60. Springer, (2022)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)Dynamic Learning in Hyper-Heuristics to Solve Flowshop Problems., , и . BRACIS (1), том 13073 из Lecture Notes in Computer Science, стр. 155-169. Springer, (2021)Automatic Configuration of Bi-Objective Optimisation Algorithms: Impact of Correlation Between Objectives., , , и . ICTAI, стр. 571-578. IEEE, (2018)Special issue on "Stochastic Local Search: Recent developments and trends"., , , , и . ITOR, 26 (6): 2580-2581 (2019)Improving the Relevance of Artificial Instances for Curriculum-Based Course Timetabling through Feasibility Prediction., , и . GECCO Companion, стр. 203-206. ACM, (2023)