Masao Arakawa - researchr alias

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Viewing Publication 1 - 15 from 15

2023

Development of Multi-objective Optimal Design Method Using Review Data with Kansei Items as the Objective FunctionSo Fukuhara, Saerom Lee, Masao Arakawa. hci 2023: 598-606 [doi]

Development of forked divergence particle swarm optimizationSo Fukuhara, Masao Arakawa. gecco 2023: 87-90 [doi]

2022

Sensor Network System for Observing Environmental Information and Growth Condition to Support Indoor AgricultureNaoki Nakayama, Hiroshi Yamamoto, Masao Arakawa, Itsuo Naka. iccel 2022: 1-6 [doi]

2020

Development and Evaluation of Environmental / Growth Observation Sensor Network System for AquaponicsYusuke Haruo, Hiroshi Yamamoto, Masao Arakawa, Itsuo Naka. iccel 2020: 1-6 [doi]

Multi-objective evaluation method for combined cycle power plant start-upMasakazu Shirakawa, Masao Arakawa. ifacjsc, 13:100101, 2020. [doi]

2012

Sequential approximate optimization for discrete design variable problems using radial basis function networkSatoshi Kitayama, Masao Arakawa, Koetsu Yamazaki. amc, 219(8):4143-4156, 2012. [doi]

2011

Differential evolution as the global optimization technique and its application to structural optimizationSatoshi Kitayama, Masao Arakawa, Koetsu Yamazaki. asc, 11(4):3792-3803, 2011. [doi]

2010

Modified Support Vector Regression in outlier detectionJunya Nishiguchi, Chosei Kaseda, Hirotaka Nakayama, Masao Arakawa, Yeboon Yun. ijcnn 2010: 1-5 [doi]

2008

Practical Approach to Outlier Detection Using Support Vector RegressionJunya Nishiguchi, Chosei Kaseda, Hirotaka Nakayama, Masao Arakawa, Yeboon Yun. iconip 2009: 995-1001 [doi]

2007

Range juggling for better convergence in genetic range genetic algorithmsMasao Arakawa. cec 2007: 1359-1365 [doi]

2005

Shinayaka-Systems Design: A Multi-objective Plant-layout Planning for Power Generating PlantsKensuke Kawai, Shigeru Matsumoto, Mitsunobu Nakajo, Hirotaka Nakayama, Masao Arakawa. wstst 2005: 337-348 [doi]

Application of Particle Swarm Optimization to the Mixed Discrete Non-Linear ProblemsSatoshi Kitayama, Koetsu Yamazaki, Masao Arakawa. ifip12 2005: 315-324 [doi]

2004

Fitness evaluation using generalized data envelopment analysis in MOGAYeboon Yun, Masao Arakawa, Hirotaka Nakayama. cec 2004: 464-471 [doi]

2001

A Computational Intelligence Approach to Optimization with Unknown Objective FunctionsHirotaka Nakayama, Masao Arakawa, Rie Sasaki. icann 2001: 73-80 [doi]

Generation of efficient frontiers in multi-objective optimization problems by generalized data envelopment analysisY. B. Yun, H. Nakayama, T. Tanino, Masao Arakawa. eor, 129(3):586-595, 2001. [doi]

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