Ohki Makoto 大木誠

… Alternative Names

OHKI Makoto 大木誠

大木誠オオキマコト

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Researcher Number	00263484
Other IDs
Affiliation (Current)	2026: 鳥取大学, 工学部, 准教授
Affiliation (based on the past Project Information) *help	2018 – 2021: 鳥取大学, 工学研究科, 准教授 2017: 鳥取大学, 工学系部門, 准教授 2000: 鳥取大学, 工学部, 講師 1999: 鳥取大学, 工学部, 助手
Review Section/Research Field	Principal Investigator Soft computing / Control engineering
Keywords	Principal Investigator 遺伝的アルゴリズム / 部分木 / 進化的最適化 / 探索 / 多目的最適化 / 転移 / 増殖 / ランキング / メイティング / 遺伝的プログラミング … More / 木構造間距離 / 部分サンプリング / Genetic Programming / 最適化 / 木構造 / 多数目的進化計算法 / 多数目的GP / 進化計算 / 木構造最適化問題 / 多数目的最適化問題 / 組合せ最適化問題 / 分部サンプリング変異 / 参照点集合 / 看護師勤務表最適化 / ベンチマーク問題 / 多数目的最適化 / 組合せ最適化 / 木構造最適化 / 部分サンプリング変異 / 多数目的Genetic Programming / 突然変異オペレータ / 高速計算 / 走行制御 / パルス・パターン / 誤動作確率 / 距離測定 / 環境認識 / 自律移動ロボット / ファジィ推論 / ファジィ制御 Less

Research Projects
(2 results)
Research Products
(19 results)

A Study on an Efficient Searching Procedure for Genetic ProgrammingPrincipal Investigator
- Principal Investigator
  
  OHKI Makoto
- Project Period (FY)
  2017 – 2021
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Soft computing
- Research Institution
  Tottori University
適応ファジィ制御による自律移動ロボットの走行制御Principal Investigator
- Principal Investigator
  
  大木誠
- Project Period (FY)
  1999 – 2000
- Research Category
  
  Grant-in-Aid for Encouragement of Young Scientists (A)
- Research Field
  
  Control engineering
- Research Institution
  Tottori University

All 2021 2020 2019 2018 2017

All Journal Article Presentation

[Journal Article] An Experimental Application of Multi-Objective Evolutionary Algorithm to Many-Objective Nurse Scheduling for Real General Hospitals2021
- Author(s)
  Khan Md. Kawsar、Takeuchi Haruto、Ohki Makoto
- Journal Title
  
  2021 36th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC)
  
  Volume: 1 Pages: 1-4
- DOI
  10.1109/itc-cscc52171.2021.9501456
- Data Source
  KAKENHI-PROJECT-17K00339
[Journal Article] Reference Points Generated on Unit Hypersurfaces for MaOEAs2021
- Author(s)
  Takeuchi Haruto、Khan Md. Kawsar、Ohki Makoto
- Journal Title
  
  2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)
  
  Volume: 1 Pages: 614-619
- DOI
  10.1109/3ict53449.2021.9581958
- Data Source
  KAKENHI-PROJECT-17K00339
[Journal Article] A Fundamental Technique Generating Reference Points on Hypersurfaces for MaOEAs2021
- Author(s)
  Ohki Makoto
- Journal Title
  
  2021 IEEE 19th International Symposium on Intelligent Systems and Informatics (SISY)
  
  Volume: 1 Pages: 27-32
- DOI
  10.1109/sisy52375.2021.9582482
- Data Source
  KAKENHI-PROJECT-17K00339
[Journal Article] Multi-objective genetic programming with partial sampling and its extension to many-objective2019
- Author(s)
  Makoto Ohki
- Journal Title
  
  SN Applied Sciences
  
  Volume: 1.3 Issue: 3 Pages: 207-210
- DOI
  10.1007/s42452-019-0208-y
- NAID
  120006782682
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K00339
[Presentation] 参照点集合に基づく多数目的最適化進化アルゴリズムに関する検討2021
- Author(s)
  竹内晴人, Md. Kawsar Khan, 大木誠
- Organizer
  The 23rd IEEE Hiroshima Section Student Symposium
- Data Source
  KAKENHI-PROJECT-17K00339
[Presentation] 多数目的看護師勤務表最適化における探索戦略の改善2021
- Author(s)
  河口永遠, Md. Kawsar Khan, 大木誠, 庄川久美子
- Organizer
  2021年度（第72回）電気・情報関連学会中国支部連合大会
- Data Source
  KAKENHI-PROJECT-17K00339
[Presentation] 多数目的組合せ最適化ベンチマーク問題に関する検討2021
- Author(s)
  稲垣水希斗, 竹内晴人, 大木誠
- Organizer
  2021年度（第72回）電気・情報関連学会中国支部連合大会
- Data Source
  KAKENHI-PROJECT-17K00339
[Presentation] Verification of Applicability of MOEAs to Many-Objective GP Problem2020
- Author(s)
  Ohki Makoto
- Organizer
  2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K00339
[Presentation] A Consideration on Many-Objective GP Applied with NSGA-III based on Uniformly Distributed Reference Points on the Unit Hypersphere2020
- Author(s)
  竹内晴人, 森保駿也, 大木誠
- Organizer
  the 22nd IEEE Hiroshima Section Student Symposium
- Data Source
  KAKENHI-PROJECT-17K00339
[Presentation] MOEA/Dを用いた看護師勤務表の多数目的最適化2020
- Author(s)
  森保駿也, 竹内晴人, 大木誠, 櫛田大輔, 庄川久美子
- Organizer
  2020 年度 (第 71 回) 電気・情報関連学会中国支部連合大会
- Data Source
  KAKENHI-PROJECT-17K00339
[Presentation] A benchmark with facile adjustment of difficulty for many-objective genetic programming and its reference set2020
- Author(s)
  Ohki Makoto
- Organizer
  GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K00339
[Presentation] 多数目的進化計算のためのほぼ一様な参照点集合生成に関する検討2020
- Author(s)
  竹内晴人, 森保駿也, 大木誠
- Organizer
  2020 年度 (第 71 回) 電気・情報関連学会中国支部連合大会
- Data Source
  KAKENHI-PROJECT-17K00339
[Presentation] Effectiveness of NSGA-II with Linearly Scheduled Pareto-Partial Dominance for Practical Many-Objecitve Nurse Scheduling2020
- Author(s)
  Ohki Makoto
- Organizer
  2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K00339
[Presentation] An Effective Many-Objective Extension of Genetic Programming and Its Benchmark2019
- Author(s)
  Makoto Ohki
- Organizer
  2019 IEEE First International Conference on Digital Data Processing (DDP)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K00339
[Presentation] Many-Objective Nurse Scheduling Using Pareto Partial Dominance with Linear Subset-Size Scheduling2018
- Author(s)
  Makoto Ohki
- Organizer
  10th International Joint Conf. on Computational Intelligence (IJCCI 2018, Seville-Spain, 18-20, Sep. 2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K00339
[Presentation] Linear Subset Size Scheduling for Many-objective Optimization using NSGA-II based on Pareto Partial Dominance2018
- Author(s)
  Makoto Ohki
- Organizer
  15th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K00339
[Presentation] Partial Sampling Operator and Tree-structural Distance for Multi-objective Genetic Programming2018
- Author(s)
  Makoto Ohki
- Organizer
  10th International Joint Conf. on Computational Intelligence (IJCCI 2018, Seville-Spain, 18-20, Sep. 2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K00339
[Presentation] Partial Sampling Operator and Tree-structural Distance for Multi-objective Genetic Programming2018
- Author(s)
  Makoto Ohki
- Organizer
  2018 IEEE International Conf. on Computer and Applications (ICCA 2018, Beirut-Lebanon, 25-26, July, 2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K00339
[Presentation] Shift Scheduling of Short Time Workers in Large-Scale Home Iprovement Center by Using Cooperative Evolution2017
- Author(s)
  Makoto Ohki
- Organizer
  International Conference on Soft Computing MENDEL2017
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K00339

Ohki Makoto 大木 誠

OHKI Makoto 大木 誠

大木 誠 オオキ マコト

Research Projects

Research Products

A Study on an Efficient Searching Procedure for Genetic ProgrammingPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

適応ファジィ制御による自律移動ロボットの走行制御Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] An Experimental Application of Multi-Objective Evolutionary Algorithm to Many-Objective Nurse Scheduling for Real General Hospitals2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Reference Points Generated on Unit Hypersurfaces for MaOEAs2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] A Fundamental Technique Generating Reference Points on Hypersurfaces for MaOEAs2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Multi-objective genetic programming with partial sampling and its extension to many-objective2019

Author(s)

Journal Title

DOI

NAID

Data Source

[Presentation] 参照点集合に基づく多数目的最適化進化アルゴリズムに関する検討2021

Author(s)

Organizer

Data Source

[Presentation] 多数目的看護師勤務表最適化における探索戦略の改善2021

Author(s)

Organizer

Data Source

[Presentation] 多数目的組合せ最適化ベンチマーク問題に関する検討2021

Author(s)

Organizer

Data Source

[Presentation] Verification of Applicability of MOEAs to Many-Objective GP Problem2020

Author(s)

Organizer

Data Source

[Presentation] A Consideration on Many-Objective GP Applied with NSGA-III based on Uniformly Distributed Reference Points on the Unit Hypersphere2020

Author(s)

Organizer

Data Source

[Presentation] MOEA/Dを用いた看護師勤務表の多数目的最適化2020

Author(s)

Organizer

Data Source

[Presentation] A benchmark with facile adjustment of difficulty for many-objective genetic programming and its reference set2020

Author(s)

Organizer

Data Source

[Presentation] 多数目的進化計算のためのほぼ一様な参照点集合生成に関する検討2020

Author(s)

Organizer

Data Source

[Presentation] Effectiveness of NSGA-II with Linearly Scheduled Pareto-Partial Dominance for Practical Many-Objecitve Nurse Scheduling2020

Author(s)

Organizer

Data Source

[Presentation] An Effective Many-Objective Extension of Genetic Programming and Its Benchmark2019

Author(s)

Organizer

Data Source

[Presentation] Many-Objective Nurse Scheduling Using Pareto Partial Dominance with Linear Subset-Size Scheduling2018

Author(s)

Ohki Makoto 大木誠

OHKI Makoto 大木誠

大木誠オオキマコト