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Special issue on soft computing for big data and social informatics.

, , and . Soft Comput., 21 (11): 2799-2800 (2017)

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Hypervolume Subset Selection for Triangular and Inverted Triangular Pareto Fronts of Three-Objective Problems., , , and . FOGA, page 95-110. ACM, (2017)Multiobjective genetic rule selection as a data mining postprocessing procedure., , and . GECCO, page 1591-1592. ACM, (2006)Topological Kernel Bayesian ARTMAP., , , , and . WAC, page 1-5. IEEE, (2018)Indicator-based evolutionary algorithm with hypervolume approximation by achievement scalarizing functions., , , and . GECCO, page 527-534. ACM, (2010)Simultaneous use of different scalarizing functions in MOEA/D., , , and . GECCO, page 519-526. ACM, (2010)Relation between Neighborhood Size and MOEA/D Performance on Many-Objective Problems., , and . EMO, volume 7811 of Lecture Notes in Computer Science, page 459-474. Springer, (2013)Constrained multiobjective distance minimization problems., , , , and . GECCO, page 586-594. ACM, (2019)Evolutionary Many-Objective Optimization by NSGA-II and MOEA/D with Large Populations., , , and . SMC, page 1758-1763. IEEE, (2009)Use of very small training data subsets in parallel distributed genetic fuzzy rule selection., , and . GEFS, page 27-32. IEEE, (2010)Designing fuzzy rule-based classifiers that can visually explain their classification results to human users., , and . GEFS, page 5-10. IEEE, (2008)