Akira Oyama

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 29

Top Topics

Optimization Problems

Evolutionary Algorithm

Top Venues

GECCO (Companion)

Publications

Naruhiko Nimura, Akira Oyama
Multiobjective Evolutionary Topology Optimization Algorithm Using Quadtree Encoding. IEEE Access 12 (2024)
Akira Oyama, Shoichi Hasegawa, Hikaru Nakagawa, Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi
Exophora Resolution of Linguistic Instructions with a Demonstrative based on Real-World Multimodal Information. RO-MAN (2023)
Naruhiko Nimura, Akira Oyama
Evolutionary Topology Optimization Using Quadtree Genetic Programming. CEC (2022)
Shigetaka Kawai, Wataru Yamazaki, Akira Oyama
Gegenbauer reconstruction method with edge detection for multi-dimensional uncertainty propagation. J. Comput. Phys. 468 (2022)
Hodaka Mori, Akira Oyama
Multi-Objective Evolutionary Algorithm Fully Based on Unbounded Archive for Problems Requiring Very Expensive Solution Evaluations. SSCI (2022)
Quang Nhat Huynh, Hemant K. Singh, Tapabrata Ray, Akira Oyama
Improved Genetic Programming for Symbolic Regression: Case Studies on Practical Applications. SSCI (2022)
Motoki Sato, Akira Oyama
Comparative Study of Crossovers for Decision Space Diversity of Non-Dominated Solutions. SSCI (2021)
Akira Oyama, Hiroto Sato, Kaito Kosuge, Kosuke Uchiyama, Taro Nakamura, Kazunori Umeda
Detection of Rust from Images in Pipes Using Deep Learning. UR (2021)
Yohanes Bimo Dwianto, Hiroaki Fukumoto, Akira Oyama
Adaptively preserving solutions in both feasible and infeasible regions on generalized multiple constraint ranking. GECCO (2020)
Koen van der Blom, Timo M. Deist, Vanessa Volz, Mariapia Marchi, Yusuke Nojima, Boris Naujoks, Akira Oyama, Tea Tusar
Identifying Properties of Real-World Optimisation Problems through a Questionnaire. CoRR (2020)
Koen van der Blom, Timo M. Deist, Tea Tusar, Mariapia Marchi, Yusuke Nojima, Akira Oyama, Vanessa Volz, Boris Naujoks
Towards realistic optimization benchmarks: a questionnaire on the properties of real-world problems. GECCO Companion (2020)
Koen van der Blom, Timo M. Deist, Tea Tusar, Mariapia Marchi, Yusuke Nojima, Akira Oyama, Vanessa Volz, Boris Naujoks
Towards Realistic Optimization Benchmarks: A Questionnaire on the Properties of Real-World Problems. CoRR (2020)
Pramudita Satria Palar, Yohanes Bimo Dwianto, Rommel G. Regis, Akira Oyama, Lavi Rizki Zuhal
Benchmarking constrained surrogate-based optimization on low speed airfoil design problems. GECCO (Companion) (2019)
Tatsumasa Ishikawa, Hiroaki Fukumoto, Akira Oyama, Hiroyuki Nishida
Improved binary additive epsilon indicator for obtaining uniformly distributed solutions in multi-objective optimization. GECCO (Companion) (2019)
Aljosa Vodopija, Akira Oyama, Bogdan Filipic
Ensemble-based constraint handling in multiobjective optimization. GECCO (Companion) (2019)
Hiroaki Fukumoto, Akira Oyama
Impact of Estimation Method of Ideal/Nadir Points on Practically-Constrained Multi-Objective Optimization Problems for Decomposition-Based Multi-Objective Evolutionary Algorithm. SSCI (2019)
Yohanes Bimo Dwianto, Hiroaki Fukumoto, Akira Oyama
On improving the constraint-handling performance with modified multiple constraint ranking (MCR-mod) for engineering design optimization problems solved by evolutionary algorithms. GECCO (2019)
Hiroaki Fukumoto, Akira Oyama
Coverage Enhancement of MOEA/D-M2M for Problems with Difficult-to-Approximate Pareto Front Boundaries. CEC (2019)
Hiroaki Fukumoto, Akira Oyama
A Generic Framework for Incorporating Constraint Handling Techniques into Multi-Objective Evolutionary Algorithms. EvoApplications (2018)
Hiroaki Fukumoto, Akira Oyama
Benchmarking multiobjective evolutionary algorithms and constraint handling techniques on a real-world car structure design optimization benchmark problem. GECCO (Companion) (2018)
Takehisa Kohira, Hiromasa Kemmotsu, Akira Oyama, Tomoaki Tatsukawa
Proposal of benchmark problem based on real-world car structure design optimization. GECCO (Companion) (2018)
Hiroaki Fukumoto, Akira Oyama
Study on Improving Efficiency of Multi-Objective Evolutionary Algorithm with Large Population by M2M Decomposition and Elitist Mate Selection Scheme. SSCI (2018)
Ryoji Tanabe, Akira Oyama
Benchmarking MOEAs for multi- and many-objective optimization using an unbounded external archive. GECCO (2017)
Ryoji Tanabe, Hisao Ishibuchi, Akira Oyama
Benchmarking Multi- and Many-Objective Evolutionary Algorithms Under Two Optimization Scenarios. IEEE Access 5 (2017)
Ryoji Tanabe, Akira Oyama
A note on constrained multi-objective optimization benchmark problems. CEC (2017)
Akira Oyama, Takehisa Kohira, Hiromasa Kemmotsu, Tomoaki Tatsukawa, Takeshi Watanabe
Simultaneous structure design optimization of multiple car models using the K computer. SSCI (2017)
Ryoji Tanabe, Akira Oyama
The Impact of Population Size, Number of Children, and Number of Reference Points on the Performance of NSGA-III. EMO (2017)
Toshiki Kondoh, Tomoaki Tatsukawa, Akira Oyama, Takeshi Watanabe, Kozo Fujii
Effects of discrete design-variable precision on real-coded Genetic Algorithm. SSCI (2016)
Tomoaki Tatsukawa, Takeshi Watanabe, Akira Oyama
Evolutionary computation for many-objective optimization problems using massive population sizes on the K supercomputer. CEC (2016)
Antonio López Jaimes, Akira Oyama, Kozo Fujii
A ranking method based on two preference criteria: Chebyshev function and ∈-indicator. CEC (2015)
Takeshi Watanabe, Tomoaki Tatsukawa, Akira Oyama
On the fast hypervolume calculation method. CEC (2015)
Yuki Yazawa, Hernán E. Aguirre, Akira Oyama, Kiyoshi Tanaka
Evolutionary many-objective optimization using dynamic ε-Hoods and Chebyshev function. CEC (2015)
Martin Schlueter, Chit Hong Yam, Takeshi Watanabe, Akira Oyama
Many-objective optimization of interplanetary space mission trajectories. CEC (2015)
Takeshi Watanabe, Tomoaki Tatsukawa, Antonio López Jaimes, Hikaru Aono, Taku Nonomura, Akira Oyama, Kozo Fujii
Many-objective evolutionary computation for optimization of separated-flow control using a DBD plasma actuator. IEEE Congress on Evolutionary Computation (2014)
Hernán E. Aguirre, Yuki Yazawa, Akira Oyama, Kiyoshi Tanaka
Extending AεSεH from Many-objective to Multi-objective Optimization. SEAL (2014)
Hernán E. Aguirre, Akira Oyama, Kiyoshi Tanaka
Adaptive ε-Sampling and ε-Hood for Evolutionary Many-Objective Optimization. EMO (2013)
Tomoaki Tatsukawa, Taku Nonomura, Akira Oyama, Kozo Fujii
A New Multiobjective Genetic Programming for Extraction of Design Information from Non-dominated Solutions. EMO (2013)
Antonio López Jaimes, Akira Oyama, Kozo Fujii
Space trajectory design: Analysis of a real-world many-objective optimization problem. IEEE Congress on Evolutionary Computation (2013)
Antonio López Jaimes, Carlos A. Coello Coello, Akira Oyama, Kozo Fujii
An Alternative Preference Relation to Deal with Many-Objective Optimization Problems. EMO (2013)
Naoya Kowatari, Akira Oyama, Hernán E. Aguirre, Kiyoshi Tanaka
Analysis on Population Size and Neighborhood Recombination on Many-Objective Optimization. PPSN (2) (2012)
Naoya Kowatari, Akira Oyama, Hernán E. Aguirre, Kiyoshi Tanaka
A Study on Large Population MOEA Using Adaptive ε-Box Dominance and Neighborhood Recombination for Many-Objective Optimization. LION (2012)
Akira Oyama, Yasuhiro Kawakatsu, Kazuko Hagiwara
Data Mining of Pareto-Optimal Solutions of a Solar Observatory Trajectory Design Problem. Infotech@Aerospace (2012)
Akira Oyama, Taku Nonomura, Kozo Fujii
Data mining of non-dominated solutions using proper orthogonal decomposition. GECCO (2009)
Akira Oyama, Yoshiyuki Okabe, Koji Shimoyama, Kozo Fujii
Aerodynamic Multiobjective Design Exploration of a Flapping Airfoil Using a Navier-Stokes Solver. J. Aerosp. Comput. Inf. Commun. 6 (3) (2009)
Koji Shimoyama, Akira Oyama, Kozo Fujii
Development of Multi-Objective Six Sigma Approach for Robust Design Optimization. J. Aerosp. Comput. Inf. Commun. 5 (8) (2008)
Koji Shimoyama, Akira Oyama, Kozo Fujii
A new efficient and useful robust optimization approach - design for multi-objective six sigma. Congress on Evolutionary Computation (2005)
Akira Oyama, Shigeru Obayashi, Takashi Nakamura
Real-coded adaptive range genetic algorithm applied to transonic wing optimization. Appl. Soft Comput. 1 (3) (2001)
Shigeru Obayashi, Akira Oyama, Takashi Nakamura
Transonic Wing Shape Optimization Based on Evolutionary Algorithms. ISHPC (2000)
Akira Oyama, Shigeru Obayashi, Takashi Nakamura
Real-Coded Adaptive Range Genetic Algorithm Applied to Transonic Wing Optimization. PPSN (2000)