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LR-NIMBUS: an interactive algorithm for uncertain multiobjective optimization with lightly robust efficient solutions.

, , и . J. Glob. Optim., 83 (4): 843-863 (2022)

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Handling Preferences in the "Pre-conflicting" Phase of Decision Making Processes under Multiple Criteria., и . ADT, том 6992 из Lecture Notes in Computer Science, стр. 234-246. Springer, (2011)A Preference Based Interactive Evolutionary Algorithm for Multi-objective Optimization: PIE., , и . EMO, том 6576 из Lecture Notes in Computer Science, стр. 212-225. Springer, (2011)Comparative evaluation of some interactive reference point-based methods for multi-objective optimisation., и . J. Oper. Res. Soc., 50 (9): 949-959 (1999)LR-NIMBUS: an interactive algorithm for uncertain multiobjective optimization with lightly robust efficient solutions., , и . J. Glob. Optim., 83 (4): 843-863 (2022)Interactive MOEA/D with multiple types of preference information., и . GECCO Companion, стр. 1826-1834. ACM, (2022)A Hybrid Integrated Multi-Objective Optimization Procedure for Estimating Nadir Point., , и . EMO, том 5467 из Lecture Notes in Computer Science, стр. 569-583. Springer, (2009)Artificial Decision Maker Driven by PSO: An Approach for Testing Reference Point Based Interactive Methods., , , , , и . PPSN (1), том 11101 из Lecture Notes in Computer Science, стр. 274-285. Springer, (2018)Interactive Multiobjective Optimization in Lot Sizing with Safety Stock and Safety Lead Time., , , и . ICCL, том 13004 из Lecture Notes in Computer Science, стр. 208-221. Springer, (2021)On Dealing with Uncertainties from Kriging Models in Offline Data-Driven Evolutionary Multiobjective Optimization., , , и . EMO, том 11411 из Lecture Notes in Computer Science, стр. 463-474. Springer, (2019)IRA-EMO: Interactive Method Using Reservation and Aspiration Levels for Evolutionary Multiobjective Optimization., , , и . EMO, том 11411 из Lecture Notes in Computer Science, стр. 618-630. Springer, (2019)