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Masao Arakawa
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2020 – today
- 2024
- [c13]So Fukuhara
, Masao Arakawa
Particle Swarm Optimization with Unfeasible Personal Best for Constrained Problems. GECCO Companion 2024: 743-746 - 2023
- [c12]So Fukuhara
Development of forked divergence particle swarm optimization. GECCO Companion 2023: 87-90 - [c11]So Fukuhara, Saerom Lee, Masao Arakawa:
Development of Multi-objective Optimal Design Method Using Review Data with Kansei Items as the Objective Function. HCI (46) 2023: 598-606 - 2022
- [c10]Naoki Nakayama, Hiroshi Yamamoto, Masao Arakawa, Itsuo Naka:
Sensor Network System for Observing Environmental Information and Growth Condition to Support Indoor Agriculture. ICCE 2022: 1-6 - 2020
- [j5]Masakazu Shirakawa, Masao Arakawa
Multi-objective evaluation method for combined cycle power plant start-up. IFAC J. Syst. Control. 13: 100101 (2020) - [c9]Yusuke Haruo, Hiroshi Yamamoto, Masao Arakawa, Itsuo Naka:
Development and Evaluation of Environmental / Growth Observation Sensor Network System for Aquaponics. ICCE 2020: 1-6
2010 – 2019
- 2012
- [j4]Satoshi Kitayama, Masao Arakawa
Sequential approximate optimization for discrete design variable problems using radial basis function network. Appl. Math. Comput. 219(8): 4143-4156 (2012) - 2011
- [j3]Satoshi Kitayama, Masao Arakawa
Differential evolution as the global optimization technique and its application to structural optimization. Appl. Soft Comput. 11(4): 3792-3803 (2011) - 2010
- [c8]Junya Nishiguchi, Chosei Kaseda, Hirotaka Nakayama, Masao Arakawa
Modified Support Vector Regression in outlier detection. IJCNN 2010: 1-5
2000 – 2009
- 2008
- [c7]Junya Nishiguchi, Chosei Kaseda, Hirotaka Nakayama, Masao Arakawa
Practical Approach to Outlier Detection Using Support Vector Regression. ICONIP (1) 2008: 995-1001 - 2007
- [c6]Masao Arakawa
Range juggling for better convergence in genetic range genetic algorithms. IEEE Congress on Evolutionary Computation 2007: 1359-1365 - 2005
- [c5]Satoshi Kitayama, Koetsu Yamazaki, Masao Arakawa:
Application of Particle Swarm Optimization to the Mixed Discrete Non-Linear Problems. AIAI 2005: 315-324 - [c4]Satoshi Kitayama, Masao Arakawa
A Method for the Mixed Discrete Non-Linear Problems by Particle Swarm Optimization. System Modelling and Optimization 2005: 149-159 - [c3]Kensuke Kawai, Shigeru Matsumoto, Mitsunobu Nakajo, Hirotaka Nakayama, Masao Arakawa:
Shinayaka-Systems Design: A Multi-objective Plant-layout Planning for Power Generating Plants. WSTST 2005: 337-348 - 2004
- [j2]Yeboon Yun, Hirotaka Nakayama, Masao Arakawa
Multiple criteria decision making with generalized DEA and an aspiration level method. Eur. J. Oper. Res. 158(3): 697-706 (2004) - [c2]Yeboon Yun, Masao Arakawa
Fitness evaluation using generalized data envelopment analysis in MOGA. IEEE Congress on Evolutionary Computation 2004: 464-471 - 2001
- [j1]Yeboon Yun, Hirotaka Nakayama, Tetsuzo Tanino, Masao Arakawa
Generation of efficient frontiers in multi-objective optimization problems by generalized data envelopment analysis. Eur. J. Oper. Res. 129(3): 586-595 (2001) - [c1]Hirotaka Nakayama, Masao Arakawa
A Computational Intelligence Approach to Optimization with Unknown Objective Functions. ICANN 2001: 73-80
Coauthor Index
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