A Computational Intelligence Approach to Optimization with Unknown Objective Functions. - Hirotaka Nakayama; Masao Arakawa; Rie Sasaki (ICANN, 2001)

Generation of efficient frontiers in multi-objective optimization problems by generalized data envelopment analysis. - Yeboon Yun; Hirotaka Nakayama; Tetsuzo Tanino; Masao Arakawa (Eur. J. Oper. Res., 2001)

Using support vector machines in optimization for black-box objective functions. - Hirotaka Nakayama; Masao Arakawa; Koji Washino (IJCNN, 2003)

Fitness evaluation using generalized data envelopment analysis in MOGA. - Yeboon Yun; Masao Arakawa; Hirotaka Nakayama (IEEE Congress on Evolutionary Computation, 2004)

Using support vector machines in multi-objective optimization. - Yeboon Yun; Hirotaka Nakayama; Masao Arakawa (IJCNN, 2004)

Multiple criteria decision making with generalized DEA and an aspiration level method. - Yeboon Yun; Hirotaka Nakayama; Masao Arakawa (Eur. J. Oper. Res., 2004)

Application of Particle Swarm Optimization to the Mixed Discrete Non-Linear Problems. - Satoshi Kitayama; Koetsu Yamazaki; Masao Arakawa (AIAI, 2005)

A Method for the Mixed Discrete Non-Linear Problems by Particle Swarm Optimization. - Satoshi Kitayama; Masao Arakawa; Koetsu Yamazaki (System Modelling and Optimization, 2005)

Shinayaka-Systems Design: A Multi-objective Plant-layout Planning for Power Generating Plants. - Kensuke Kawai; Shigeru Matsumoto; Mitsunobu Nakajo; Hirotaka Nakayama; Masao Arakawa (WSTST, 2005)

Range juggling for better convergence in genetic range genetic algorithms. - Masao Arakawa (IEEE Congress on Evolutionary Computation, 2007)

Practical Approach to Outlier Detection Using Support Vector Regression. - Junya Nishiguchi; Chosei Kaseda; Hirotaka Nakayama; Masao Arakawa; Yeboon Yun (ICONIP (1), 2008)

Modified Support Vector Regression in outlier detection. - Junya Nishiguchi; Chosei Kaseda; Hirotaka Nakayama; Masao Arakawa; Yeboon Yun (IJCNN, 2010)

Differential evolution as the global optimization technique and its application to structural optimization. - Satoshi Kitayama; Masao Arakawa; Koetsu Yamazaki (Appl. Soft Comput., 2011)

Sequential approximate optimization for discrete design variable problems using radial basis function network. - Satoshi Kitayama; Masao Arakawa; Koetsu Yamazaki (Appl. Math. Comput., 2012)

Development and Evaluation of Environmental / Growth Observation Sensor Network System for Aquaponics. - Yusuke Haruo; Hiroshi Yamamoto; Masao Arakawa; Itsuo Naka (ICCE, 2020)

Multi-objective evaluation method for combined cycle power plant start-up. - Masakazu Shirakawa; Masao Arakawa (IFAC J. Syst. Control., 2020)

Sensor Network System for Observing Environmental Information and Growth Condition to Support Indoor Agriculture. - Naoki Nakayama; Hiroshi Yamamoto; Masao Arakawa; Itsuo Naka (ICCE, 2022)

Development of forked divergence particle swarm optimization. - So Fukuhara; Masao Arakawa (GECCO Companion, 2023)

Development of Multi-objective Optimal Design Method Using Review Data with Kansei Items as the Objective Function. - So Fukuhara; Saerom Lee; Masao Arakawa (HCI (46), 2023)

Particle Swarm Optimization with Unfeasible Personal Best for Constrained Problems. - So Fukuhara; Masao Arakawa (GECCO Companion, 2024)

Genetic Algorithm with Efficient Selection Using Pareto Front Modeling and Data Envelopment Analysis. - Mamoru Doi; Kenya Sugihara; Masao Arakawa (SCIS/ISIS, 2024)

Proposal of Efficient Particle Swarm Optimization for Constrained Optimization Problems. - So Fukuhara; Masao Arakawa (EvoApplications (2), 2025)