| 2025 | RO-MAN | Take That for Me: Multimodal Exophora Resolution with Interactive Questioning for Ambiguous Out-of-View Instructions. | Akira Oyama, Shoichi Hasegawa, Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi |
| 2023 | RO-MAN | Exophora Resolution of Linguistic Instructions with a Demonstrative based on Real-World Multimodal Information. | Akira Oyama, Shoichi Hasegawa, Hikaru Nakagawa, Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi |
| 2022 | CEC | Evolutionary Topology Optimization Using Quadtree Genetic Programming. | Naruhiko Nimura, Akira Oyama |
| 2020 | GECCO | Towards realistic optimization benchmarks: a questionnaire on the properties of real-world problems. | Koen van der Blom, Timo M. Deist, Tea Tusar, Mariapia Marchi, Yusuke Nojima, Akira Oyama, Vanessa Volz, Boris Naujoks |
| 2020 | GECCO | Adaptively preserving solutions in both feasible and infeasible regions on generalized multiple constraint ranking. | Yohanes Bimo Dwianto, Hiroaki Fukumoto, Akira Oyama |
| 2019 | CEC | Coverage Enhancement of MOEA/D-M2M for Problems with Difficult-to-Approximate Pareto Front Boundaries. | Hiroaki Fukumoto, Akira Oyama |
| 2019 | GECCO | On improving the constraint-handling performance with modified multiple constraint ranking (MCR-mod) for engineering design optimization problems solved by evolutionary algorithms. | Yohanes Bimo Dwianto, Hiroaki Fukumoto, Akira Oyama |
| 2019 | GECCO | Improved binary additive epsilon indicator for obtaining uniformly distributed solutions in multi-objective optimization. | Tatsumasa Ishikawa, Hiroaki Fukumoto, Akira Oyama, Hiroyuki Nishida |
| 2019 | GECCO | Benchmarking constrained surrogate-based optimization on low speed airfoil design problems. | Pramudita Satria Palar, Yohanes Bimo Dwianto, Rommel G. Regis, Akira Oyama, Lavi Rizki Zuhal |
| 2019 | GECCO | Ensemble-based constraint handling in multiobjective optimization. | Aljosa Vodopija, Akira Oyama, Bogdan Filipic |
| 2018 | GECCO | Benchmarking multiobjective evolutionary algorithms and constraint handling techniques on a real-world car structure design optimization benchmark problem. | Hiroaki Fukumoto, Akira Oyama |
| 2018 | GECCO | Proposal of benchmark problem based on real-world car structure design optimization. | Takehisa Kohira, Hiromasa Kemmotsu, Akira Oyama, Tomoaki Tatsukawa |
| 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 | Benchmarking MOEAs for multi- and many-objective optimization using an unbounded external archive. | Ryoji Tanabe, Akira Oyama |
| 2016 | CEC | Evolutionary computation for many-objective optimization problems using massive population sizes on the K supercomputer. | Tomoaki Tatsukawa, Takeshi Watanabe, Akira Oyama |
| 2015 | CEC | A ranking method based on two preference criteria: Chebyshev function and ∈-indicator. | Antonio Lpez Jaimes, Akira Oyama, Kozo Fujii |
| 2015 | CEC | Many-objective optimization of interplanetary space mission trajectories. | Martin Schlueter, Chit Hong Yam, Takeshi Watanabe, Akira Oyama |
| 2015 | CEC | On the fast hypervolume calculation method. | Takeshi Watanabe, Tomoaki Tatsukawa, Akira Oyama |
| 2015 | CEC | Evolutionary many-objective optimization using dynamic ε-Hoods and Chebyshev function. | Yuki Yazawa, Hernn E. Aguirre, Akira Oyama, Kiyoshi Tanaka |
| 2014 | CEC | Many-objective evolutionary computation for optimization of separated-flow control using a DBD plasma actuator. | Takeshi Watanabe, Tomoaki Tatsukawa, Antonio Lpez Jaimes, Hikaru Aono, Taku Nonomura, Akira Oyama, Kozo Fujii |
| 2013 | CEC | Space trajectory design: Analysis of a real-world many-objective optimization problem. | Antonio Lpez Jaimes, Akira Oyama, Kozo Fujii |
| 2013 | EMO | Adaptive ε-Sampling and ε-Hood for Evolutionary Many-Objective Optimization. | Hernn E. Aguirre, Akira Oyama, Kiyoshi Tanaka |
| 2013 | EMO | An Alternative Preference Relation to Deal with Many-Objective Optimization Problems. | Antonio Lpez Jaimes, Carlos A. Coello Coello, Akira Oyama, Kozo Fujii |
| 2013 | EMO | A New Multiobjective Genetic Programming for Extraction of Design Information from Non-dominated Solutions. | Tomoaki Tatsukawa, Taku Nonomura, Akira Oyama, Kozo Fujii |
| 2012 | PPSN | Analysis on Population Size and Neighborhood Recombination on Many-Objective Optimization. | Naoya Kowatari, Akira Oyama, Hernn E. Aguirre, Kiyoshi Tanaka |
| 2009 | GECCO | Data mining of non-dominated solutions using proper orthogonal decomposition. | Akira Oyama, Taku Nonomura, Kozo Fujii |
| 2005 | CEC | A new efficient and useful robust optimization approach - design for multi-objective six sigma. | Koji Shimoyama, Akira Oyama, Kozo Fujii |
| 2000 | PPSN | Real-Coded Adaptive Range Genetic Algorithm Applied to Transonic Wing Optimization. | Akira Oyama, Shigeru Obayashi, Takashi Nakamura |