How to strike a balance between local search and global search in multiobjective memetic algorithms for multiobjective 0/1 knapsack problems. - Hisao Ishibuchi; Yuki Tanigaki; Naoya Akedo; Yusuke Nojima (IEEE Congress on Evolutionary Computation, 2013)

Difficulties in specifying reference points to calculate the inverted generational distance for many-objective optimization problems. - Hisao Ishibuchi; Hiroyuki Masuda; Yuki Tanigaki; Yusuke Nojima (MCDM, 2014)

Review of coevolutionary developments of evolutionary multi-objective and many-objective algorithms and test problems. - Hisao Ishibuchi; Hiroyuki Masuda; Yuki Tanigaki; Yusuke Nojima (MCDM, 2014)

Evolutionary many-objective optimization using preference on hyperplane. - Kaname Narukawa; Yuki Tanigaki; Hisao Ishibuchi (GECCO (Companion), 2014)

Distance-Based Analysis of Crossover Operators for Many-Objective Knapsack Problems. - Hisao Ishibuchi; Yuki Tanigaki; Hiroyuki Masuda; Yusuke Nojima (PPSN, 2014)

Preference-based NSGA-II for many-objective knapsack problems. - Yuki Tanigaki; Kaname Narukawa; Yusuke Nojima; Hisao Ishibuchi (SCIS&ISIS, 2014)

Algorithm structure optimization by choosing operators in multiobjective genetic local search. - Yuki Tanigaki; Hiroyuki Masuda; Yu Setoguchi; Yusuke Nojima; Hisao Ishibuchi (CEC, 2015)

Modified Distance Calculation in Generational Distance and Inverted Generational Distance. - Hisao Ishibuchi; Hiroyuki Masuda; Yuki Tanigaki; Yusuke Nojima (EMO (2), 2015)

Meta-optimization based multi-objective test problem generation using WFG toolkit. - Yuki Tanigaki; Yusuke Nojima; Hisao Ishibuchi (CEC, 2016)

Preference representation using Gaussian functions on a hyperplane in evolutionary multi-objective optimization. - Kaname Narukawa; Yu Setoguchi; Yuki Tanigaki; Markus Olhofer; Bernhard Sendhoff; Hisao Ishibuchi (Soft Comput., 2016)

Multiobjective data mining from solutions by evolutionary multiobjective optimization. - Yusuke Nojima; Yuki Tanigaki; Hisao Ishibuchi (GECCO, 2017)

Performance comparison of EMO algorithms on test problems with different search space shape. - Yuki Tanigaki; Yusuke Nojima; Hisao Ishibuchi (IFSA-SCIS, 2017)

Multiobjective Evolutionary Data Mining for Performance Improvement of Evolutionary Multiobjective Optimization. - Naoki Masuyama; Yuki Tanigaki; Yusuke Nojima; Hisao Ishibuchi (SMC, 2018)

Evolutionary Multiobjective Optimization for Pedestrian Route Guidance with Multiple Scenarios. - Yuki Tanigaki; Yoshihiko Ozaki; Shusuke Shigenaka; Masaki Onishi (CEC, 2020)

Multiobjective tree-structured parzen estimator for computationally expensive optimization problems. - Yoshihiko Ozaki; Yuki Tanigaki; Shuhei Watanabe; Masaki Onishi (GECCO, 2020)

MAS-Bench: Parameter Optimization Benchmark for Multi-agent Crowd Simulation. - Shusuke Shigenaka; Shunki Takami; Shuhei Watanabe; Yuki Tanigaki; Yoshihiko Ozaki; Masaki Onishi (AAMAS, 2021)

Multiobjective Tree-Structured Parzen Estimator. - Yoshihiko Ozaki; Yuki Tanigaki; Shuhei Watanabe; Masahiro Nomura; Masaki Onishi (J. Artif. Intell. Res., 2022)

NAVIGATOR-D3: Neural Architecture Search Using VarIational Graph Auto-encoder Toward Optimal aRchitecture Design for Diverse Datasets. - Kazuki Hemmi; Yuki Tanigaki; Masaki Onishi (ICANN (1), 2024)

MAS-Bench: a benchmarking for parameter calibration of multi-agent crowd simulation. - Shusuke Shigenaka; Shunki Takami; Yuki Tanigaki; Shuhei Watanabe; Masaki Onishi (J. Comput. Soc. Sci., 2024)