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Searching for knee regions of the Pareto front using mobile reference points.

, , and . Soft Comput., 15 (9): 1807-1823 (2011)

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On the importance of isolated solutions in constrained decomposition-based many-objective optimization., , and . GECCO, page 561-568. ACM, (2017)Searching for knee regions in multi-objective optimization using mobile reference points., , and . SAC, page 1118-1125. ACM, (2010)Bi-level Decision-making Modeling for an Autonomous Driver Agent: Application in the Car-following Driving Behavior., , , and . Applied Artificial Intelligence, 33 (13): 1157-1178 (2019)Preference-Based Many-Objective Evolutionary Testing Generates Harder Test Cases for Autonomous Agents., , , and . SSBSE, volume 8084 of Lecture Notes in Computer Science, page 245-250. Springer, (2013)Feature construction as a bi-level optimization problem., , , , and . Neural Comput. Appl., 32 (17): 13783-13804 (2020)An Evolutionary Multi-objective Approach for Coordinating Supplier-Producer Conflict in Lot Sizing., , , , and . Int. J. Inf. Technol. Decis. Mak., 21 (2): 541-575 (2022)A Hybrid Evolutionary Approach with Group-Based Solution Encoding for Solving the Constrained Bilevel Multi-Depot Vehicle Routing Problem., , , , and . CEC, page 1-8. IEEE, (2023)A Possibilistic Evolutionary Approach to Handle the Uncertainty of Software Metrics Thresholds in Code Smells Detection., , , , and . QRS, page 574-585. IEEE, (2021)Android malware detection as a Bi-level problem., , , and . Comput. Secur., (2022)Software refactoring under uncertainty: a robust multi-objective approach., , , , and . GECCO (Companion), page 187-188. ACM, (2014)