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Local Search Move Strategies within MOEA/D., , , , and . GECCO (Companion), page 73-74. ACM, (2016)New features for continuous exploratory landscape analysis based on the SOO tree., , , , and . FOGA, page 72-86. ACM, (2019)A fine-grained message passing MOEA/D., , , and . CEC, page 1837-1844. IEEE, (2015)A Parallel Tabu Search for the Unconstrained Binary Quadratic Programming problem., , , and . CEC, page 557-564. IEEE, (2017)What if we Increase the Number of Objectives? Theoretical and Empirical Implications for Many-objective Optimization., , , and . CoRR, (2021)Approximating Pareto Set Topology by Cubic Interpolation on Bi-objective Problems., , , , , , and . EMO, volume 11411 of Lecture Notes in Computer Science, page 386-398. Springer, (2019)Combinatorial Optimization of Stochastic Multi-objective Problems: An Application to the Flow-Shop Scheduling Problem., , , and . EMO, volume 4403 of Lecture Notes in Computer Science, page 457-471. Springer, (2007)On Stochastic Fitness Landscapes: Local Optimality and Fitness Landscape Analysis for Stochastic Search Operators., , , , , and . PPSN (2), volume 12270 of Lecture Notes in Computer Science, page 97-110. Springer, (2020)Improvements on bicriteria pairwise sequence alignment: algorithms and applications., , , , and . Bioinform., 29 (8): 996-1003 (2013)Pareto Local Optimal Solutions Networks with Compression, Enhanced Visualization and Expressiveness., , , and . GECCO, page 713-721. ACM, (2023)