Karim Mashud | Graduate School Yokohama National University

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概要

• 同名の論文著者
• Graduate School Yokohama National Universityの論文著者

関連著者

• Karim Mashud

  Graduate School Yokohama National University

• Kai H

  Faculty Of Engineering Yokohama National University

• SUZUKI Kazuo

  Faculty of Engineering, Yokohama National University

• Suzuki K

  Ntt Transmission Systems Lab. Ibaraki Jpn

• Suzuki Kenji

  Institute For Materials Research Laboratory Tohoku University

• Kai Hisashi

  Faculty Of Engineering Yokohama National University

• Suzuki K

  横浜国大 大学院工学研究院

• 鈴木 和夫

  横浜大

• Ikehata Mitsuhisa

  Faculty Of Engineering Yokohama National University

• Ikehata M

  Faculty Of Engineering Yokohama Nationaluniversity

• Karim M

  Graduate School Yokohama National University

• Suzuki Katsurmi

  Tamachi Laboratory Superconductivity Research Laboratory Istec

• Suzuki Kazuo

  Faculty Of Engineering Yokohama National University

• Karim Md.Mashud

  Graduate School, Yokohama National University

• 鈴木 和夫

  Faculty of Engineering, Yokohama National University

• KAI Hisashi

  Faculty of Engineering, Yokohama National University

• Karim Mashud

  Graduate School, Yokohama National University

• Ikehata Mitsuhisa

  Faculty of Engineering, Yokohama National University

• Ikehata Mitsuhisa

  Dept. of Naval Architecture and Ocean Eng.,Faculty of Eng.

• Ikehata Mitsuhisa

  Dept.of Naval Architecture And Ocean Engineering Yokohama National University

• Ikehata Mitsuhisa

  Dept. Of Naval Architecture

• HOLLAND John

  Graduate School, Yokohama National University

• GOLDBERG D.E.

  Faculty of Engineering, Yokohama National University

• MICHALEWICZ Z.

  Faculty of Engineering, Yokohama National University

• HAUPT R.L.

  Faculty of Engineering, Yokohama National University

• 池畑 光尚

  Faculty of Engineering, Yokohama NationalUniversity

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著作論文

• 1-4 Application of Micro-Genetic Algorithm (μGA) to the Optimal Design of Lifting Bodies
• Application of Micro-Genetic Algorithm (μGA) to the Optimal Design of Lifting Bodies
• Application of Genetic Algorithm to the Optimization of Hydrofoil Using Polynomial Expression of Boundary Element Analysis Results

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