Akira Oyama - RankMe

57 papers A 5B 14C 4Journal 10Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	—	`ed.`	Evolutionary Multi-Criterion Optimization - 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4-7, 2025, Proceedings, Part I EMO (1) Hemant K. Singh, Tapabrata Ray, Joshua D. Knowles, Xiaodong Li, Juergen Branke, Bing Wang, Akira Oyama
2025	—	`ed.`	Evolutionary Multi-Criterion Optimization - 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4-7, 2025, Proceedings, Part II EMO (2) Hemant K. Singh, Tapabrata Ray, Joshua D. Knowles, Xiaodong Li, Juergen Branke, Bing Wang, Akira Oyama
2025	J	`jnl`	Public Evaluation on Potential Social Impacts of Fully Autonomous Cybernetic Avatars for Physical Support in Daily-Life Environments: Large-Scale Demonstration and Survey at Avatar Land. CoRR Lotfi El Hafi, Kazuma Onishi, Shoichi Hasegawa, Akira Oyama, Tomochika Ishikawa, Masashi Osada, Carl Tornberg, Ryoma Kado, Kento Murata, Saki Hashimoto, Sebastian Carrera Villalobos, Akira Taniguchi, Gustavo Alfonso Garcia Ricardez, Yoshinobu Hagiwara, Tatsuya Aoki, Kensuke Iwata, Takato Horii, Yukiko Horikawa, Takahiro Miyashita, Tadahiro Taniguchi, Hiroshi Ishiguro
2025	B	`conf`	Take That for Me: Multimodal Exophora Resolution with Interactive Questioning for Ambiguous Out-of-View Instructions. RO-MAN Akira Oyama, Shoichi Hasegawa, Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi
2025	J	`jnl`	Take That for Me: Multimodal Exophora Resolution with Interactive Questioning for Ambiguous Out-of-View Instructions. CoRR Akira Oyama, Shoichi Hasegawa, Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi
2024	—	`conf`	ECRAP: Exophora Resolution and Classifying User Commands for Robot Action Planning by Large Language Models. IRC Akira Oyama, Shoichi Hasegawa, Yoshinobu Hagiwara, Akira Taniguchi, Tadahiro Taniguchi
2024	J	`jnl`	Multiobjective Evolutionary Topology Optimization Algorithm Using Quadtree Encoding. IEEE Access Naruhiko Nimura, Akira Oyama
2023	B	`conf`	Exophora Resolution of Linguistic Instructions with a Demonstrative based on Real-World Multimodal Information. RO-MAN Akira Oyama, Shoichi Hasegawa, Hikaru Nakagawa, Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi
2023	—	`ch.`	Identifying Properties of Real-World Optimisation Problems Through a Questionnaire. Many-Criteria Optimization and Decision Analysis Koen van der Blom, Timo M. Deist, Vanessa Volz, Mariapia Marchi, Yusuke Nojima, Boris Naujoks, Akira Oyama, Tea Tusar
2022	B	`conf`	Evolutionary Topology Optimization Using Quadtree Genetic Programming. CEC Naruhiko Nimura, Akira Oyama
2022	J	`jnl`	Gegenbauer reconstruction method with edge detection for multi-dimensional uncertainty propagation. J. Comput. Phys. Shigetaka Kawai, Wataru Yamazaki, Akira Oyama
2022	—	`conf`	Improved Genetic Programming for Symbolic Regression: Case Studies on Practical Applications. SSCI Quang Nhat Huynh, Hemant K. Singh, Tapabrata Ray, Akira Oyama
2022	—	`conf`	Multi-Objective Evolutionary Algorithm Fully Based on Unbounded Archive for Problems Requiring Very Expensive Solution Evaluations. SSCI Hodaka Mori, Akira Oyama
2021	—	`conf`	Comparative Study of Crossovers for Decision Space Diversity of Non-Dominated Solutions. SSCI Motoki Sato, Akira Oyama
2021	—	`conf`	Detection of Rust from Images in Pipes Using Deep Learning. UR Akira Oyama, Hiroto Sato, Kaito Kosuge, Kosuke Uchiyama, Taro Nakamura, Kazunori Umeda
2020	A	`conf`	Adaptively preserving solutions in both feasible and infeasible regions on generalized multiple constraint ranking. GECCO Yohanes Bimo Dwianto, Hiroaki Fukumoto, Akira Oyama
2020	J	`jnl`	Identifying Properties of Real-World Optimisation Problems through a Questionnaire. CoRR Koen van der Blom, Timo M. Deist, Vanessa Volz, Mariapia Marchi, Yusuke Nojima, Boris Naujoks, Akira Oyama, Tea Tusar
2020	J	`jnl`	Towards Realistic Optimization Benchmarks: A Questionnaire on the Properties of Real-World Problems. CoRR Koen van der Blom, Timo M. Deist, Tea Tusar, Mariapia Marchi, Yusuke Nojima, Akira Oyama, Vanessa Volz, Boris Naujoks
2020	—	`conf`	Towards realistic optimization benchmarks: a questionnaire on the properties of real-world problems. GECCO Companion Koen van der Blom, Timo M. Deist, Tea Tusar, Mariapia Marchi, Yusuke Nojima, Akira Oyama, Vanessa Volz, Boris Naujoks
2019	—	`conf`	Benchmarking constrained surrogate-based optimization on low speed airfoil design problems. GECCO (Companion) Pramudita Satria Palar, Yohanes Bimo Dwianto, Rommel G. Regis, Akira Oyama, Lavi Rizki Zuhal
2019	B	`conf`	Coverage Enhancement of MOEA/D-M2M for Problems with Difficult-to-Approximate Pareto Front Boundaries. CEC Hiroaki Fukumoto, Akira Oyama
2019	—	`conf`	Ensemble-based constraint handling in multiobjective optimization. GECCO (Companion) Aljosa Vodopija, Akira Oyama, Bogdan Filipic
2019	—	`conf`	Impact of Estimation Method of Ideal/Nadir Points on Practically-Constrained Multi-Objective Optimization Problems for Decomposition-Based Multi-Objective Evolutionary Algorithm. SSCI Hiroaki Fukumoto, Akira Oyama
2019	—	`conf`	Improved binary additive epsilon indicator for obtaining uniformly distributed solutions in multi-objective optimization. GECCO (Companion) Tatsumasa Ishikawa, Hiroaki Fukumoto, Akira Oyama, Hiroyuki Nishida
2019	A	`conf`	On improving the constraint-handling performance with modified multiple constraint ranking (MCR-mod) for engineering design optimization problems solved by evolutionary algorithms. GECCO Yohanes Bimo Dwianto, Hiroaki Fukumoto, Akira Oyama
2018	B	`conf`	A Generic Framework for Incorporating Constraint Handling Techniques into Multi-Objective Evolutionary Algorithms. EvoApplications Hiroaki Fukumoto, Akira Oyama
2018	—	`conf`	Benchmarking multiobjective evolutionary algorithms and constraint handling techniques on a real-world car structure design optimization benchmark problem. GECCO (Companion) Hiroaki Fukumoto, Akira Oyama
2018	—	`conf`	Proposal of benchmark problem based on real-world car structure design optimization. GECCO (Companion) Takehisa Kohira, Hiromasa Kemmotsu, Akira Oyama, Tomoaki Tatsukawa
2018	—	`conf`	Study on Improving Efficiency of Multi-Objective Evolutionary Algorithm with Large Population by M2M Decomposition and Elitist Mate Selection Scheme. SSCI Hiroaki Fukumoto, Akira Oyama
2017	B	`conf`	A note on constrained multi-objective optimization benchmark problems. CEC Ryoji Tanabe, Akira Oyama
2017	A	`conf`	Benchmarking MOEAs for multi- and many-objective optimization using an unbounded external archive. GECCO Ryoji Tanabe, Akira Oyama
2017	J	`jnl`	Benchmarking Multi- and Many-Objective Evolutionary Algorithms Under Two Optimization Scenarios. IEEE Access Ryoji Tanabe, Hisao Ishibuchi, Akira Oyama
2017	—	`conf`	Simultaneous structure design optimization of multiple car models using the K computer. SSCI Akira Oyama, Takehisa Kohira, Hiromasa Kemmotsu, Tomoaki Tatsukawa, Takeshi Watanabe
2017	C	`conf`	The Impact of Population Size, Number of Children, and Number of Reference Points on the Performance of NSGA-III. EMO Ryoji Tanabe, Akira Oyama
2016	—	`conf`	Effects of discrete design-variable precision on real-coded Genetic Algorithm. SSCI Toshiki Kondoh, Tomoaki Tatsukawa, Akira Oyama, Takeshi Watanabe, Kozo Fujii
2016	B	`conf`	Evolutionary computation for many-objective optimization problems using massive population sizes on the K supercomputer. CEC Tomoaki Tatsukawa, Takeshi Watanabe, Akira Oyama
2015	B	`conf`	A ranking method based on two preference criteria: Chebyshev function and ∈-indicator. CEC Antonio López Jaimes, Akira Oyama, Kozo Fujii
2015	B	`conf`	Evolutionary many-objective optimization using dynamic ε-Hoods and Chebyshev function. CEC Yuki Yazawa, Hernán E. Aguirre, Akira Oyama, Kiyoshi Tanaka
2015	B	`conf`	Many-objective optimization of interplanetary space mission trajectories. CEC Martin Schlueter, Chit Hong Yam, Takeshi Watanabe, Akira Oyama
2015	B	`conf`	On the fast hypervolume calculation method. CEC Takeshi Watanabe, Tomoaki Tatsukawa, Akira Oyama
2014	—	`ch.`	Distribution Search on Evolutionary Many-Objective Optimization: Selection Mappings and Recombination Rate. Evolution, Complexity and Artificial Life Hernán E. Aguirre, Akira Oyama, Kiyoshi Tanaka
2014	—	`conf`	Extending AεSεH from Many-objective to Multi-objective Optimization. SEAL Hernán E. Aguirre, Yuki Yazawa, Akira Oyama, Kiyoshi Tanaka
2014	B	`conf`	Many-objective evolutionary computation for optimization of separated-flow control using a DBD plasma actuator. IEEE Congress on Evolutionary Computation Takeshi Watanabe, Tomoaki Tatsukawa, Antonio López Jaimes, Hikaru Aono, Taku Nonomura, Akira Oyama, Kozo Fujii
2013	C	`conf`	A New Multiobjective Genetic Programming for Extraction of Design Information from Non-dominated Solutions. EMO Tomoaki Tatsukawa, Taku Nonomura, Akira Oyama, Kozo Fujii
2013	C	`conf`	Adaptive ε-Sampling and ε-Hood for Evolutionary Many-Objective Optimization. EMO Hernán E. Aguirre, Akira Oyama, Kiyoshi Tanaka
2013	C	`conf`	An Alternative Preference Relation to Deal with Many-Objective Optimization Problems. EMO Antonio López Jaimes, Carlos A. Coello Coello, Akira Oyama, Kozo Fujii
2013	B	`conf`	Space trajectory design: Analysis of a real-world many-objective optimization problem. IEEE Congress on Evolutionary Computation Antonio López Jaimes, Akira Oyama, Kozo Fujii
2012	—	`conf`	A Study on Large Population MOEA Using Adaptive ε-Box Dominance and Neighborhood Recombination for Many-Objective Optimization. LION Naoya Kowatari, Akira Oyama, Hernán E. Aguirre, Kiyoshi Tanaka
2012	—	`conf`	Analysis on Population Size and Neighborhood Recombination on Many-Objective Optimization. PPSN (2) Naoya Kowatari, Akira Oyama, Hernán E. Aguirre, Kiyoshi Tanaka
2012	—	`conf`	Data Mining of Pareto-Optimal Solutions of a Solar Observatory Trajectory Design Problem. Infotech@Aerospace Akira Oyama, Yasuhiro Kawakatsu, Kazuko Hagiwara
2009	J	`jnl`	Aerodynamic Multiobjective Design Exploration of a Flapping Airfoil Using a Navier-Stokes Solver. J. Aerosp. Comput. Inf. Commun. Akira Oyama, Yoshiyuki Okabe, Koji Shimoyama, Kozo Fujii
2009	A	`conf`	Data mining of non-dominated solutions using proper orthogonal decomposition. GECCO Akira Oyama, Taku Nonomura, Kozo Fujii
2008	J	`jnl`	Development of Multi-Objective Six Sigma Approach for Robust Design Optimization. J. Aerosp. Comput. Inf. Commun. Koji Shimoyama, Akira Oyama, Kozo Fujii
2005	B	`conf`	A new efficient and useful robust optimization approach - design for multi-objective six sigma. Congress on Evolutionary Computation Koji Shimoyama, Akira Oyama, Kozo Fujii
2001	J	`jnl`	Real-coded adaptive range genetic algorithm applied to transonic wing optimization. Appl. Soft Comput. Akira Oyama, Shigeru Obayashi, Takashi Nakamura
2000	A	`conf`	Real-Coded Adaptive Range Genetic Algorithm Applied to Transonic Wing Optimization. PPSN Akira Oyama, Shigeru Obayashi, Takashi Nakamura
2000	—	`conf`	Transonic Wing Shape Optimization Based on Evolutionary Algorithms. ISHPC Shigeru Obayashi, Akira Oyama, Takashi Nakamura