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Objective reduction using a feature selection technique., , and . GECCO, page 673-680. ACM, (2008)Some techniques to deal with many-objective problems., and . GECCO (Companion), page 2693-2696. ACM, (2009)On the Many-Objective Pickup and Delivery Problem: Analysis of the Performance of Three Evolutionary Algorithms., , and . MICAI (1), volume 10632 of Lecture Notes in Computer Science, page 69-81. Springer, (2017)An Alternative Preference Relation to Deal with Many-Objective Optimization Problems., , , and . EMO, volume 7811 of Lecture Notes in Computer Science, page 291-306. Springer, (2013)Objective space partitioning using conflict information for solving many-objective problems., , , and . Inf. Sci., (2014)MRMOGA: parallel evolutionary multiobjective optimization using multiple resolutions., and . Congress on Evolutionary Computation, page 2294-2301. IEEE, (2005)A Parallel Tabu Search Heuristic to Approximate Uniform Designs for Reference Set Based MOEAs., , , and . EMO, volume 11411 of Lecture Notes in Computer Science, page 254-265. Springer, (2019)Space trajectory design: Analysis of a real-world many-objective optimization problem., , and . IEEE Congress on Evolutionary Computation, page 2809-2816. IEEE, (2013)A ranking method based on two preference criteria: Chebyshev function and ∈-indicator., , and . CEC, page 2827-2834. IEEE, (2015)Generation techniques and a novel on-line adaptation strategy for weight vectors within decomposition-based MOEAs., , and . GECCO (Companion), page 229-230. ACM, (2019)