Masao Arakawa

24 papers B 5C 3Misc 1Journal 6Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient Tournament Selection Using Data Envelopment Analysis in Multiobjective Genetic Algorithms with Pareto Front Modeling and Reference Pairing.
J. Adv. Comput. Intell. Intell. Informatics
Mamoru Doi, Kenya Sugihara, Masao Arakawa
2025 — conf
Particle Swarm Optimization for Large-Scale Mixed-Variable Optimization Problems.
GECCO Companion
So Fukuhara, Masao Arakawa
2025 — conf
Proposal of Efficient Particle Swarm Optimization for Constrained Optimization Problems.
EvoApplications (2)
So Fukuhara, Masao Arakawa
2024 — conf
Genetic Algorithm with Efficient Selection Using Pareto Front Modeling and Data Envelopment Analysis.
SCIS/ISIS
Mamoru Doi, Kenya Sugihara, Masao Arakawa
2024 — conf
Particle Swarm Optimization with Unfeasible Personal Best for Constrained Problems.
GECCO Companion
So Fukuhara, Masao Arakawa
2023 — conf
Development of Multi-objective Optimal Design Method Using Review Data with Kansei Items as the Objective Function.
HCI (46)
So Fukuhara, Saerom Lee, Masao Arakawa
2023 — conf
Development of forked divergence particle swarm optimization.
GECCO Companion
So Fukuhara, Masao Arakawa
2022 C conf
Sensor Network System for Observing Environmental Information and Growth Condition to Support Indoor Agriculture.
ICCE
Naoki Nakayama, Hiroshi Yamamoto, Masao Arakawa, Itsuo Naka
2020 C conf
Development and Evaluation of Environmental / Growth Observation Sensor Network System for Aquaponics.
ICCE
Yusuke Haruo, Hiroshi Yamamoto, Masao Arakawa, Itsuo Naka
2020 J jnl
Multi-objective evaluation method for combined cycle power plant start-up.
IFAC J. Syst. Control.
Masakazu Shirakawa, Masao Arakawa
2012 J jnl
Sequential approximate optimization for discrete design variable problems using radial basis function network.
Appl. Math. Comput.
Satoshi Kitayama, Masao Arakawa, Koetsu Yamazaki
2011 J jnl
Differential evolution as the global optimization technique and its application to structural optimization.
Appl. Soft Comput.
Satoshi Kitayama, Masao Arakawa, Koetsu Yamazaki
2010 B conf
Modified Support Vector Regression in outlier detection.
IJCNN
Junya Nishiguchi, Chosei Kaseda, Hirotaka Nakayama, Masao Arakawa, Yeboon Yun
2008 — conf
Practical Approach to Outlier Detection Using Support Vector Regression.
ICONIP (1)
Junya Nishiguchi, Chosei Kaseda, Hirotaka Nakayama, Masao Arakawa, Yeboon Yun
2007 B conf
Range juggling for better convergence in genetic range genetic algorithms.
IEEE Congress on Evolutionary Computation
Masao Arakawa
2005 — conf
A Method for the Mixed Discrete Non-Linear Problems by Particle Swarm Optimization.
System Modelling and Optimization
Satoshi Kitayama, Masao Arakawa, Koetsu Yamazaki
2005 Misc conf
Application of Particle Swarm Optimization to the Mixed Discrete Non-Linear Problems.
AIAI
Satoshi Kitayama, Koetsu Yamazaki, Masao Arakawa
2005 — conf
Shinayaka-Systems Design: A Multi-objective Plant-layout Planning for Power Generating Plants.
WSTST
Kensuke Kawai, Shigeru Matsumoto, Mitsunobu Nakajo, Hirotaka Nakayama, Masao Arakawa
2004 B conf
Fitness evaluation using generalized data envelopment analysis in MOGA.
IEEE Congress on Evolutionary Computation
Yeboon Yun, Masao Arakawa, Hirotaka Nakayama
2004 J jnl
Multiple criteria decision making with generalized DEA and an aspiration level method.
Eur. J. Oper. Res.
Yeboon Yun, Hirotaka Nakayama, Masao Arakawa
2004 B conf
Using support vector machines in multi-objective optimization.
IJCNN
Yeboon Yun, Hirotaka Nakayama, Masao Arakawa
2003 B conf
Using support vector machines in optimization for black-box objective functions.
IJCNN
Hirotaka Nakayama, Masao Arakawa, Koji Washino
2001 C conf
A Computational Intelligence Approach to Optimization with Unknown Objective Functions.
ICANN
Hirotaka Nakayama, Masao Arakawa, Rie Sasaki
2001 J jnl
Generation of efficient frontiers in multi-objective optimization problems by generalized data envelopment analysis.
Eur. J. Oper. Res.
Yeboon Yun, Hirotaka Nakayama, Tetsuzo Tanino, Masao Arakawa