| 2026 | GECCO | Benchmarking Stopping Criteria for Evolutionary Multi-objective Optimization. | Kenji Kitamura, Ryoji Tanabe |
| 2026 | GECCO | A Bi-Criteria Selection Framework for Incorporating Preference Information into Evolutionary Multi-objective Optimization. | Ryuichi Mogami, Ryoji Tanabe |
| 2026 | PPSN | Effects of Objective Normalization on Regions of Interest in Preference-Based Evolutionary Multi-objective Optimization. | Ryuichi Mogami, Ryoji Tanabe |
| 2025 | GECCO | Analyzing the Landscape of the Indicator-based Subset Selection Problem. | Keisuke Korogi, Ryoji Tanabe |
| 2024 | GECCO | Benchmarking Parameter Control Methods in Differential Evolution for Mixed-Integer Black-Box Optimization. | Ryoji Tanabe |
| 2024 | GECCO | On Constructing Algorithm Portfolios in Algorithm Selection for Computationally Expensive Black-box Optimization in the Fixed-budget Setting. | Takushi Yoshikawa, Ryoji Tanabe |
| 2024 | PPSN | Contrasting the Landscapes of Feature Selection Under Different Machine Learning Models. | Arnaud Liefooghe, Ryoji Tanabe, Sbastien Vrel |
| 2023 | GECCO | On the Unbounded External Archive and Population Size in Preference-based Evolutionary Multi-objective Optimization Using a Reference Point. | Ryoji Tanabe |
| 2022 | GECCO | Benchmarking the hooke-jeeves method, MTS-LS1, and BSrr on the large-scale BBOB function set. | Ryoji Tanabe |
| 2022 | GECCO | A two-phase framework with a bzier simplex-based interpolation method for computationally expensive multi-objective optimization. | Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada |
| 2021 | GECCO | Towards exploratory landscape analysis for large-scale optimization: a dimensionality reduction framework. | Ryoji Tanabe |
| 2020 | GECCO | Analyzing adaptive parameter landscapes in parameter adaptation methods for differential evolution. | Ryoji Tanabe |
| 2020 | PPSN | Revisiting Population Models in Differential Evolution on a Limited Budget of Evaluations. | Ryoji Tanabe |
| 2019 | GECCO | Non-elitist evolutionary multi-objective optimizers revisited. | Ryoji Tanabe, Hisao Ishibuchi |
| 2018 | PPSN | A Decomposition-Based Evolutionary Algorithm for Multi-modal Multi-objective Optimization. | Ryoji Tanabe, Hisao Ishibuchi |
| 2017 | CEC | A note on constrained multi-objective optimization benchmark problems. | Ryoji Tanabe, Akira Oyama |
| 2017 | EMO | The Impact of Population Size, Number of Children, and Number of Reference Points on the Performance of NSGA-III. | Ryoji Tanabe, Akira Oyama |
| 2017 | GECCO | TPAM: a simulation-based model for quantitatively analyzing parameter adaptation methods. | Ryoji Tanabe, Alex Fukunaga |
| 2017 | GECCO | Benchmarking MOEAs for multi- and many-objective optimization using an unbounded external archive. | Ryoji Tanabe, Akira Oyama |
| 2016 | PPSN | How Far Are We from an Optimal, Adaptive DE? | Ryoji Tanabe, Alex Fukunaga |
| 2015 | CEC | Optimization of oil reservoir models using tuned evolutionary algorithms and adaptive differential evolution. | Claus Aranha, Ryoji Tanabe, Romain Louis Chassagne, Alex S. Fukunaga |
| 2015 | CEC | Tuning differential evolution for cheap, medium, and expensive computational budgets. | Ryoji Tanabe, Alex Fukunaga |
| 2015 | GECCO | A Note on Multi-Funnel Functions for Expensive Optimization Scenario. | Ryoji Tanabe |
| 2014 | CEC | Improving the search performance of SHADE using linear population size reduction. | Ryoji Tanabe, Alex S. Fukunaga |
| 2014 | GECCO | On the pathological behavior of adaptive differential evolution on hybrid objective functions. | Ryoji Tanabe, Alex S. Fukunaga |
| 2014 | PPSN | Reevaluating Exponential Crossover in Differential Evolution. | Ryoji Tanabe, Alex Fukunaga |
| 2013 | CEC | Success-history based parameter adaptation for Differential Evolution. | Ryoji Tanabe, Alex Fukunaga |
| 2013 | CEC | Evaluation of a randomized parameter setting strategy for island-model evolutionary algorithms. | Ryoji Tanabe, Alex Fukunaga |
| 2013 | CEC | Evaluating the performance of SHADE on CEC 2013 benchmark problems. | Ryoji Tanabe, Alex Fukunaga |