Effects of discrete objective functions with different granularities on the search behavior of EMO algorithms. - Hisao Ishibuchi; Masakazu Yamane; Yusuke Nojima (GECCO, 2012)

Two-objective solution set optimization to maximize hypervolume and decision space diversity in multiobjective optimization. - Hisao Ishibuchi; Masakazu Yamane; Naoya Akedo; Yusuke Nojima (SCIS&ISIS, 2012)

Comparison of different fitness functions in genetic fuzzy rule selection. - Masakazu Yamane; Akihito Ueda; Naoshi Tadokoro; Yusuke Nojima; Hisao Ishibuchi (SCIS&ISIS, 2012)

Ensemble Fuzzy Rule-Based Classifier Design by Parallel Distributed Fuzzy GBML Algorithms. - Hisao Ishibuchi; Masakazu Yamane; Yusuke Nojima (SEAL, 2012)

Learning from multiple data sets with different missing attributes and privacy policies: Parallel distributed fuzzy genetics-based machine learning approach. - Hisao Ishibuchi; Masakazu Yamane; Yusuke Nojima (IEEE BigData, 2013)

Many-objective and many-variable test problems for visual examination of multiobjective search. - Hisao Ishibuchi; Masakazu Yamane; Naoya Akedo; Yusuke Nojima (IEEE Congress on Evolutionary Computation, 2013)

Effects of duplicated objectives in many-objective optimization problems on the search behavior of hypervolume-based evolutionary algorithms. - Hisao Ishibuchi; Masakazu Yamane; Yusuke Nojima (MCDM, 2013)

Difficulty in Evolutionary Multiobjective Optimization of Discrete Objective Functions with Different Granularities. - Hisao Ishibuchi; Masakazu Yamane; Yusuke Nojima (EMO, 2013)

Rule weight update in parallel distributed fuzzy genetics-based machine learning with data rotation. - Hisao Ishibuchi; Masakazu Yamane; Yusuke Nojima (FUZZ-IEEE, 2013)