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Proceedings Papers

A Study on Heredity and Evolution of Designs Considering Kansei by Using Genetic Algorithms

Hiroshi Yamakawa, Masao Arakawa, Nobuyuki Katsuyama

Proc. ASME. DETC95, Volume 2: 11th Biennial Conference on Reliability, Stress Analysis, and Failure Prevention; 7th International Conference on Design Theory and Methodology; JSME Symposium on Design and Production; Mechanical Design Education and History; Computer-Integrated Concurrent Design Conference, 727-732, September 17–20, 1995

Paper No: DETC1995-0208

DOI: https://doi.org/10.1115/DETC1995-0208

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Topics: Genetic algorithms, Design, Design methodology, Shapes

Proceedings Papers

A Study on Topological Optimization of Structure Using Cantor Function As Teaching Function

Masao Arakawa, Naoto Ohkubo, Hiroshi Yamakawa

Paper No: DETC1995-0209

DOI: https://doi.org/10.1115/DETC1995-0209

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Topics: Optimization, Teaching, Topology, Fractals, Structural design, Trusses (Building)

Proceedings Papers

A Study on Optimum Design Using Fuzzy Numbers As Design Variables

Masao Arakawa, Hiroshi Yamakawa

Proc. ASME. DETC95, Volume 1: 21st Design Automation Conference, 463-470, September 17–20, 1995

Paper No: DETC1995-0061

DOI: https://doi.org/10.1115/DETC1995-0061

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Topics: Design, Optimization

Proceedings Papers

Strategic Genetic Algorithms to Obtain Multiple Acceptable Design

Masao Arakawa, Hiroshi Yamakawa

Proc. ASME. DETC-CIE96, Volume 3: 22nd Design Automation Conference, V003T03A017, August 18–22, 1996

Paper No: 96-DETC/DAC-1067

DOI: https://doi.org/10.1115/96-DETC/DAC-1067

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Topics: Design, Genetic algorithms, Gases, Algorithms, Chain, Food products, Pareto optimization, Preferences

Proceedings Papers

Nonlinear Integer, Discrete and Continuous Optimization Using Adaptive Range Genetic Algorithms

Masao Arakawa, Ichiro Hagiwara

Proc. ASME. DETC97, Volume 2: 23rd Design Automation Conference, V002T29A051, September 14–17, 1997

Paper No: DETC97/DAC-3728

DOI: https://doi.org/10.1115/DETC97/DAC-3728

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Topics: Genetic algorithms, Optimization

Proceedings Papers

Robust Design Using Fuzzy Numbers

Masao Arakawa, Hiroshi Yamakawa, Ichiro Hagiwara

Proc. ASME. DETC98, Volume 2: 24th Design Automation Conference, V002T02A052, September 13–16, 1998

Paper No: DETC98/DAC-5803

DOI: https://doi.org/10.1115/DETC98/DAC-5803

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Topics: Design, Optimization

Proceedings Papers

Optimum Design Using Radial Basis Function Network and Adaptive Range Genetic Algorithms

Masao Arakawa, Hirotaka Nakayama, Hiroshi Ishikawa

Proc. ASME. DETC99, Volume 1: 25th Design Automation Conference, 1401-1410, September 12–16, 1999

Paper No: DETC99/DAC-8637

DOI: https://doi.org/10.1115/DETC99/DAC-8637

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Topics: Design, Genetic algorithms, Optimization, Radial basis function networks

Proceedings Papers

Robust Design Using Fuzzy Numbers: Consideration of Correlation of Design Variables in Fuzzy Operation

Masao Arakawa, Hiroshi Yamakawa, Hiroshi Ishikawa

Proc. ASME. IDETC-CIE2000, Volume 2: 26th Design Automation Conference, 501-507, September 10–13, 2000

Paper No: DETC2000/DAC-14536

DOI: https://doi.org/10.1115/DETC2000/DAC-14536

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Topics: Design, Errors, Modeling, Reliability, Robustness

Proceedings Papers

Reading Required Characters in Market of Products by Using Data Envelopment Analysis

Masao Arakawa, Hirotaka Nakayama, Ye Boon Yun, Hiroshi Ishikawa

Proc. ASME. IDETC-CIE2001, Volume 2A: 27th Design Automation Conference, 1-7, September 9–12, 2001

Paper No: DETC2001/DAC-21009

DOI: https://doi.org/10.1115/DETC2001/DAC-21009

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Topics: Automobiles, Decision making, Design

Proceedings Papers

A Study on Methodology to Make Team: Methodology — Phase II

Yoichi Sugimoto, Masao Arakawa, Masahiko Ishimaru

Proc. ASME. IDETC-CIE2017, Volume 1: 37th Computers and Information in Engineering Conference, V001T02A037, August 6–9, 2017

Paper No: DETC2017-67050

DOI: https://doi.org/10.1115/DETC2017-67050

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Topics: Teams, Japan Society of Mechanical Engineers, Collaboration, Design engineering, Ethics, Separation (Technology)

Proceedings Papers

Multi-Objective Optimization Formulation to Make Creative Teams in Teamology

Masao Arakawa

Proc. ASME. IDETC-CIE2010, Volume 3: 30th Computers and Information in Engineering Conference, Parts A and B, 651-656, August 15–18, 2010

Paper No: DETC2010-28586

DOI: https://doi.org/10.1115/DETC2010-28586

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Topics: Pareto optimization, Teams, Students, Optimization algorithms

Proceedings Papers

Approximate Multi-Objective Optimization of Medical Foot Support: Case of 3D Shape Optimization

Shin-ichiro Miyake, Suguru Nakao, Masao Arakawa

Proc. ASME. IDETC-CIE2009, Volume 2: 29th Computers and Information in Engineering Conference, Parts A and B, 933-939, August 30–September 2, 2009

Paper No: DETC2009-87090

DOI: https://doi.org/10.1115/DETC2009-87090

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Topics: Biomedicine, Pareto optimization, Shape optimization, Design, Bone, Diseases, Electromyography, Fatigue, Radial basis function networks, Shapes

Proceedings Papers

Teamology: Case Study in Maruzen Industry

Tomoki Mitani, Yuta Funaki, Masao Arakawa

Proc. ASME. IDETC-CIE2009, Volume 2: 29th Computers and Information in Engineering Conference, Parts A and B, 991-996, August 30–September 2, 2009

Paper No: DETC2009-87649

DOI: https://doi.org/10.1115/DETC2009-87649

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Topics: Construction, Creativity, Decision making, Teams

Proceedings Papers

Approximate Multi-Objective Optimization of Medical Foot Support

Shin-Ichiro Miyake, Masao Arakawa

Proc. ASME. IDETC-CIE2008, Volume 3: 28th Computers and Information in Engineering Conference, Parts A and B, 901-908, August 3–6, 2008

Paper No: DETC2008-49937

DOI: https://doi.org/10.1115/DETC2008-49937

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Topics: Biomedicine, Pareto optimization, X-rays, Design, Bone, Diseases, Electromyography, Fatigue, Radial basis function networks, Splines

Proceedings Papers

Development of Kansei Design System Using Image Processing

Masao Arakawa, Hiroyuki Kitajima, Masahiro Ishida, Tadaharu Manabe

Proc. ASME. IDETC-CIE2007, Volume 2: 27th Computers and Information in Engineering Conference, Parts A and B, 543-549, September 4–7, 2007

Paper No: DETC2007-35249

DOI: https://doi.org/10.1115/DETC2007-35249

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Topics: Design, Image processing, Fourier transforms, Brain, Creativity, Databases, Doors, Ergonomics

Proceedings Papers

Genetic Range Genetic Algorithms to Obtain Quasi-Optimum Solutions

Masao Arakawa, Tomoyuki Miyashita, Hiroshi Ishikawa

Proc. ASME. IDETC-CIE2003, Volume 2: 29th Design Automation Conference, Parts A and B, 927-934, September 2–6, 2003

Paper No: DETC2003/DAC-48800

DOI: https://doi.org/10.1115/DETC2003/DAC-48800

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Topics: Genetic algorithms, Optimization, Response surface methodology

Proceedings Papers

Development of Adaptive Range Genetic Algorithms Considering Inheritance of Searching Range

Masao Arakawa, Hiroshi Ishikawa

Proc. ASME. IDETC-CIE2002, Volume 2: 28th Design Automation Conference, 655-661, September 29–October 2, 2002

Paper No: DETC2002/DAC-34103

DOI: https://doi.org/10.1115/DETC2002/DAC-34103

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Topics: Genetic algorithms, Design engineering, Stability

Proceedings Papers

PSO Driven Genetic Range Genetic Algorithms

Masao Arakawa

Proc. ASME. IDETC-CIE2005, Volume 2: 31st Design Automation Conference, Parts A and B, 289-294, September 24–28, 2005

Paper No: DETC2005-84942

DOI: https://doi.org/10.1115/DETC2005-84942

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Topics: Genetic algorithms, Particle swarm optimization, Electromagnetic scattering, Radiation scattering, Scattering (Physics)

Journal citation

NARROW

A Study on Heredity and Evolution of Designs Considering Kansei by Using Genetic Algorithms

A Study on Topological Optimization of Structure Using Cantor Function As Teaching Function

A Study on Optimum Design Using Fuzzy Numbers As Design Variables

Strategic Genetic Algorithms to Obtain Multiple Acceptable Design

Nonlinear Integer, Discrete and Continuous Optimization Using Adaptive Range Genetic Algorithms

Robust Design Using Fuzzy Numbers

Optimum Design Using Radial Basis Function Network and Adaptive Range Genetic Algorithms

Robust Design Using Fuzzy Numbers: Consideration of Correlation of Design Variables in Fuzzy Operation

Reading Required Characters in Market of Products by Using Data Envelopment Analysis

A Study on Methodology to Make Team: Methodology — Phase II

Multi-Objective Optimization Formulation to Make Creative Teams in Teamology

Approximate Multi-Objective Optimization of Medical Foot Support: Case of 3D Shape Optimization

Teamology: Case Study in Maruzen Industry

Approximate Multi-Objective Optimization of Medical Foot Support

Development of Kansei Design System Using Image Processing

Genetic Range Genetic Algorithms to Obtain Quasi-Optimum Solutions

Development of Adaptive Range Genetic Algorithms Considering Inheritance of Searching Range

PSO Driven Genetic Range Genetic Algorithms

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