Updated on 2024/08/09

写真a

 
Takagi Hideyuki
 
Title
Professor Emeritus
Contact information
メールアドレス
Tel
0925334640
Profile
I have researched toward Humanized Computational Intelligence. I focus on interactive evolutionary computation (IEC) as an approach to this goal and have worked on increasing IEC performance, accelerating its search, reducing IEC user fatigue, and applying IEC for human science. Widely speaking, I am interested in fusing neural networks, fuzzy systems, and evolutionary computations as well as many other computational intelligence techniques in general. Fusing these techniques was my main research theme in late 1980's to early 1990's.

Degree

  • Doctor of Engineering

Research History

  • 1981年〜1995年 松下電器産業株式会社中央研究所   

    1981年〜1995年 松下電器産業株式会社中央研究所

Research Interests・Research Keywords

  • Research theme: Humanized Computational Intelligence

    Keyword: computational intelligence, evolutionary computation, interactive evolutionary computation, human factors

    Research period: 1993.4

Awards

  • IEEE Most Active SMC Technical Committee Award

    2018.10   IEEE Systems, Man, and Cybernetics Society   IEEE Most Active SMC Technical Committee Award

  • IEEE Outstanding SMCS Chapter Award

    2017.10   IEEE Systems, Man, and Cybernetics Society   IEEE Most Active SMC Technical Committee Award

  • 最優秀論文賞

    2012.8   the 5th Int. Conf. on Genetic and Evolutionary Computing (ICGEC2012)   Best Paper Award for: Yan Pei and Hideyuki Takagi, "Comparative study on fitness landscape approximation with Fourier transform"

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    進化計算のよる最適化の探索速度と探索精度を向上させために,改良アルゴリズム・演算手法を提案し,その効果をベンチマーク関数等で評価する研究である.特に、探索する適応度景観の周波数特性に着目し、周波数領域で適応度計算を近似することで探索を高速化する手法は非常にユニークであり,Best Paper Awardとして評価された.

  • IEEE Most Active SMC Technical Committee Award

    2010.10   IEEE Systems, Man, and Cybernetics Society   IEEE Most Active SMC Technical Committee Award

  • Best Associate Editor Award

    2005.10   IEEE Systems, Man, and Cybernetics Society   IEEE Systems, Man, and Cybernetics Societyが出版している3種類のTransaction(論文誌)編集に関わるAssociate Editor 155名の中から,最も編集活動に貢献の大きかったAssociate Editor として授与された.

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Papers

  • Interactive Evolutionary Computation-Based Hearing-Aid Fitting Reviewed International journal

    Hideyuki Takagi and Miho Ohsaki

    IEEE Transaction on Evolutionary Computation   2007.6

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    Language:English   Publishing type:Research paper (scientific journal)  

    Repository Public URL: http://hdl.handle.net/2324/4479698

  • オープンスペースディスカッション2021実施報告 Invited Reviewed

    @能島裕介, @高木英行, @棟朝雅晴, @濱田直希, @西原慧, @高玉圭樹, @佐藤寛之, @桐淵大貴, @宮川みなみ

    進化計算学会誌   13 ( 1 )   1 - 9   2022.7

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    Y. Nojima, H. Takagi, M. Munatomo, N. Hamada, K. Nishihara, K. Takadama, H. Sato, D. Kiribuchi, and M. Miyagawa,
    "Report on Open Space Discussion 2021,"
    Transaction of the Japanese Society for Evolutionary Computation, vol.13, no.1, pp.1-9 (2022).

    DOI: 0.11394/tjpnsec.13.1

    Other Link: https://doi.org/10.11394/tjpnsec.13.1

  • Accelerating Evolutionary Computation Using a Convergence Point Estimated by Weighted Moving Vectors Reviewed International journal

    #Jun Yu, #Yuhao Li, @Yan Pei, @Hideyuki Takagi

    Complex & Intelligent Systems   1 - 11   2019.5

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    Language:English   Publishing type:Research paper (scientific journal)  

    We introduce weighted moving vectors to increase the accuracy of estimating a convergence point of population and evaluateits efficiency. Key point is to weight moving vectors according to their reliability when a convergence point is calculatedinstead of equal weighting of the original method. We propose two different methods to evaluate the reliability of movingvectors. The first approach uses the fitness gradient information between starting points and terminal points of moving vectorsfor their weights. When a fitness gradient is bigger, the direction of a moving vector may have more potential, and a higherweight is given to it. The second one uses the fitness of parents, i.e., starting points of moving vectors, to give weights formoving vectors. Because an individual with higher fitness may have a high probability of being close to the optimal area, itshould be given a higher weight, vice versa. If the estimated point is better than the worst individual in current population, itis used as an elite individual and replace the worst one to accelerate the convergence of evolutionary algorithms. To evaluatethe performance of our proposal, we employ differential evolution and particle swarm optimization as baseline algorithms inour evaluation experiments and run them on 28 benchmark functions from CEC 2013. The experimental results confirmedthat introducing weights can further improve the accuracy of an estimated convergence point, which helps to make EC searchfaster. Finally, some open topics are given to discuss.

    DOI: 10.1007/s40747-019-0111-6

    Other Link: https://doi.org/10.1007/s40747-019-0111-6

  • Search Acceleration of Evolutionary Multi-objective Optimization Using an Estimated Convergence Point Reviewed International journal

    @Yan Pei, #Jun Yu, @Hideyuki Takagi

    Mathematics   7 ( 2 )   129 - 147   2019.1

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    Language:English   Publishing type:Research paper (scientific journal)  

    We propose a method to accelerate evolutionary multi-objective optimization (EMO) search using an estimated convergence point. Pareto improvement from the last generation to the current generation supports information of promising Pareto solution areas in both an objective space and a parameter space. We use this information to construct a set of moving vectors and estimate a non-dominated Pareto point from these moving vectors. In this work, we attempt to use different methods for constructing moving vectors, and use the convergence point estimated by using the moving vectors to accelerate EMO search. From our evaluation results, we found that the landscape of Pareto improvement has a uni-modal distribution characteristic in an objective space, and has a multi-modal distribution characteristic in a parameter space. Our proposed method can enhance EMO search when the landscape of Pareto improvement has a uni-modal distribution characteristic in a parameter space, and by chance also does that when landscape of Pareto improvement has a multi-modal distribution characteristic in a parameter space. The proposed methods can not only obtain more Pareto solutions compared with the conventional non-dominant sorting genetic algorithm (NSGA)-II algorithm, but can also increase the diversity of Pareto solutions. This indicates that our proposed method can enhance the search capability of EMO in both Pareto dominance and solution diversity. We also found that the method of constructing moving vectors is a primary issue for the success of our proposed method. We analyze and discuss this method with several evaluation metrics and statistical tests. The proposed method has potential to enhance EMO embedding deterministic learning methods in stochastic optimization algorithms.

    DOI: https://doi.org/10.3390/math7020129

    Other Link: https://www.mdpi.com/2227-7390/7/2/129

  • Multi-layer Explosion Based Fireworks Algorithm Reviewed International journal

    #Jun Yu, @Hideyuki Takagi, @Ying Tan

    International Journal of Swarm Intelligence and Evolutionary Computation   7 ( 3 )   2018.12

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    Language:English   Publishing type:Research paper (scientific journal)  

    We propose a new multi-layer explosion strategy inspired by various explosion patterns of real reworks to accelerate reworks algorithm (FWA). Each rework individual conducts multiple explosions to explore a local fitness landscape carefully instead of a single layer explosion used in canonical FWA. In the proposal, each rework individual generates a small number of sparks in the first layer randomly, then the generated sparks conduct the second layer explosions to generate new diverse sparks. These new sparks repeat the above operations until the number of this iteration reaches the pre-de ned maximum layer number. Theoretically, the number of explosion layers can be set to any positive integer, and the proposed strategy expects to generate various potential sparks using the multi-layer explosion strategy without changing the total number of generated sparks. The proposed strategy can combine with not only basic FWA but also other versions of FWA algorithms easily and replace their corresponding explosion operations to develop a new version, multi-layer explosion-based FWA. To evaluate the performance of our proposal, we select a more powerful variant of FWA, Enhanced FWA (EFWA) as the baseline algorithm and combine with our proposed explosion strategy. We run our proposal on 28 benchmark functions from CEC2013 test suites of 2-dimensions (2-D), 10-D and 30-D with 30 trial runs and compare with several state-of-the art EC algorithms. The experimental results confirm that the proposed strategy is effective and promising, which can obtain a better performance for FWA in terms of convergence speed and convergence accuracy. We finally analyze composition as well as feasibility of proposal and list some open topics.

    DOI: 10.4172/2090-4908.1000173

    Other Link: https://www.omicsonline.org/open-access/multilayer-explosion-based-fireworks-algorithm-2090-4908-1000173.pdf

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Books

  • Explosion Operation of Fireworks Algorithm

    @Yu, Jun @Takagi Hideyuki(Role:Joint author)

    IGI Global  2020.5 

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    Responsible for pages:Jun Yu, Hideyuki Takagi, "Explosion Operation of Fireworks Algorithm," Chapter 3 of Handbook of Research on Fireworks Algorithms and Swarm Intelligence, (ed.) Ying Tan, IGI Global (2020). DOI: 10.4018/978-1-7998-1659-1   Language:English   Book type:Scholarly book

    This chapter briefly reviews the basic explosion mechanism used in the fireworks algorithm (FWA) and comprehensively investigates relevant research on explosion operations. Since the explosion mechanism is one of the most core operations directly affecting the performance of FWA, the authors focus on analyzing the FWA explosion operation and highlighting two novel explosion strategies: a multi-layer explosion strategy and a scouting explosion strategy. The multi-layer explosion strategy allows an individual firework to perform multiple explosions instead of the single explosion used in the original FWA, where each round of explosion can be regarded as a layer; the scouting explosion strategy controls an individual firework to generate spark individuals one by one instead of generating all spark individuals within the explosion amplitude at once. The authors then introduce several other effective strategies to further improve the performance of FWA by full using the information generated by the explosion operation. Finally, the authors list some open topics for discussion.

    DOI: 10.4018/978-1-7998-1659-1

    Other Link: https://www.igi-global.com/gateway/book/233811

  • Emergent Trends in Robotics and Intelligent Systems

    Takagi Hideyuki(Role:Joint author)

    Springer  2015.1 

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    Responsible for pages:Hideyuki Takagi, "Interactive evolutionary computation for analyzing human characteristics" pp.189-196 in "Emergent Trends in Robotics and Intelligent Systems -- Where is the Role of Intelligent Technologies in the Next Generation of Robots?", edited by P. Sincak, M. Vircikova, and R. Jaksa, Advances in Intelligent Systems and Computing #316, Springer (2014). DOI: 10.1007/978-3-319-10783-7   Language:English   Book type:Scholarly book

    Other Link: http://link.springer.com/chapter/10.1007/978-3-319-10783-7_21

  • 「進化計算技術ハンドブック第I巻基礎編」の第9章「対話型進化論的計算」,第14.1節「ファジィシステム」

    高木英行(Role:Sole author)

    近代科学社  2010.1 

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    Responsible for pages:電気学会進化技術応用調査専門委員会編集「進化計算技術ハンドブック第I巻基礎編」   Language:Japanese   Book type:Scholarly book

    Ch.9 "Interactive Evolutionary Computation," and Section 14.1 "Fuzzy Systems" in "Handbook of Evolutionary Technology: Computation and Applications, Vol.1: Fundamentals" edited by Committee on Evolutionary Technology: Computation and Applications, Inst. of Electrical Engineers of Japan, Kindai Kagaku sha Co., Ltd., Tokyo Japan. (January, 2010).

    Repository Public URL: http://hdl.handle.net/2324/1001439210

  • New IEC Research and Frameworks

    Hideyuki Takagi(Role:Sole author)

    Springer-Verlag, Berlin Heidelberg  2009.8 

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    Responsible for pages:pp.65-78, in Aspects of Soft Computing, Intelligent Robotics and Control edited by János Fodor and Janusz Kacprzyk   Language:English   Book type:Scholarly book

  • 人工環境デザインハンドブック  第8.2.3節「進化的計算技術による人間要素が絡む環境の設計手法」

    高木英行(Role:Sole author)

    丸善株式会社  2007.12 

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    Responsible for pages:人工環境デザインハンドブック, 丸善株式会社, pp.387-391 (2007年12月)   Language:Japanese   Book type:Scholarly book

    Evolutionary Computation-based Design Methods for Environments with Humans

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Presentations

  • Accelerating Fireworks Algorithm with Dynamic Population Size Strategy International conference

    @YU, Jun, @TAKAGI, Hideyuki

    Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS&ISIS2020)  2020.12 

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    Event date: 2020.12

    Language:English   Presentation type:Oral presentation (general)  

    Venue:on-line   Country:Japan  

    Jun Yu and Hideyuki Takagi, "Accelerating Fireworks Algorithm with Dynamic Population Size Strategy," Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS&ISIS2020), on-line conference, pp.276-281 (December 5-8, 2020).

  • Acceptability of a Decision Maker to Handle Multi-objective Optimization on Design Space International conference

    @INOUE, Makoto, @MATSUMOTO, Hibiki, @TAKAGI, Hideyuki

    Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS&ISIS2020)  2020.12 

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    Event date: 2020.12

    Language:English   Presentation type:Oral presentation (general)  

    Venue:on-line   Country:Japan  

    Makoto Inoue, Hibiki Matsumoto, and Hideyuki Takagi, "Acceptability of a Decision Maker to Handle Multi-objective Optimization on Design Space," Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS&ISIS2020), on-line conference, pp.58-63 (December 508, 2020).

  • Multi-species Generation Strategy Based Vegetation Evolution International conference

    @YU, Jun, @TAKAGI, Hideyuki

    2020 IEEE Congress on Evolutionary Computation (CEC2020)  2020.7 

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    Event date: 2020.7

    Language:English   Presentation type:Oral presentation (general)  

    Venue:on-line   Country:United Kingdom  

    Jun Yu and Hideyuki Takagi, "Multi-species Generation Strategy Based Vegetation Evolution,"
    2020 IEEE Congress on Evolutionary Computation (CEC2020), pp.1-6, on-line conference (July 19-24, 2020).
    DOI: 10.1109/CEC48606.2020.9185677

  • Niche Method Complementing the Nearest-better Clustering International conference

    #LI, Yuhao, @YU, Jun, @TAKAGI, Hideyuki

    2019 IEEE Symposium Series on Computational Intelligence (SSCI2019)  2019.12 

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    Event date: 2019.12

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Xiamen   Country:China  

    Yuhao Li, Jun Yu and Hideyuki Takagi, "Niche Method Complementing the Nearest-better Clustering," The 2019 IEEE Symposium Series on Computational Intelligence (SSCI2019), Xiamen, China, pp. 3072-3078 (Dec. 6-9, 2019).

  • Accelerating Vegetation Evolution with Mutation Strategy and Gbased Growth Strategy International conference

    @YU, Jun, @TAKAGI, Hideyuki

    2019 IEEE Symposium Series on Computational Intelligence (SSCI2019)  2019.12 

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    Event date: 2019.12

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Xiamen   Country:China  

    Jun Yu and Hideyuki Takagi, "Accelerating Vegetation Evolution with Mutation Strategy and Gbased Growth Strategy," The 2019 IEEE Symposium Series on Computational Intelligence (SSCI2019), Xiamen, China, pp. 3040-3046 (Dec. 6-9, 2019).

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MISC

  • Hideyuki Takagi: Member of the SMCS Board of Governors

    @Hideyuki Takagi

    IEEE Systems, Man, & Cybernetics Magazine   2017.1

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    Language:English  

    Hideyuki Takagi, "Hideyuki Takagi: Member of the SMCS Board of Governors," IEEE Systems, Man, & Cybernetics Magazine, vol.3, no.1, pp.35-36 (January 2017).
    DOI: 10.1109/MSMC.2016.2623870

    DOI: 10.1109/MSMC.2016.2623870

    Other Link: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7815446

  • 使える!統計検定・機械学習 --- III ---主観評価実験のための有意差検定

    髙木英行

    システム/制御/情報   2014.12

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    Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)  

    Hideyuki Takagi, "Practical Statistical Tests and Machine Learning -- III -- Significance Tests for Human Subjective Tests --," ISCIE Journal 'Systems, Control and Information', vol.58, no.12, pp.514-520 (Dec., 2014) (in Japanese).

    Repository Public URL: http://hdl.handle.net/2324/1467640

  • 使える!統計検定・機械学習 --- II ---3群以上の場合の有意差検定

    髙木英行

    システム/制御/情報   2014.10

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    Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)  

    Hideyuki Takagi, "Practical Statistical Tests and Machine Learning -- II -- Significance Tests Among More Than Two Groups --," ISCIE Journal 'Systems, Control and Information', vol.58, no.10, pp.432-438 (Oct., 2014) (in Japanese).

    Repository Public URL: http://hdl.handle.net/2324/1467639

  • 使える!統計検定・機械学習 --- I ---2群間の有意差検定

    髙木英行

    システム/制御/情報   2014.8

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    Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)  

    Hideyuki Takagi, "Practical Statistical Tests and Machine Learning -- I -- Significance Tests Between Two Groups --," ISCIE Journal 'Systems, Control and Information', vol.58, no.8, pp.346-352 (Aug., 2014) (in Japanese).

    Repository Public URL: http://hdl.handle.net/2324/1467638

  • 会議報告:2nd World Congress on Nature and Biologically Inspired Computing (NaBIC2010)

    高木英行

    人工知能学会誌   2011.5

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    Language:Japanese   Publishing type:Internal/External technical report, pre-print, etc.  

    Hideyuki Takagi, "Conference Report: 2nd World Congress on Nature and Biologically Inspired Computing (NaBIC2010)," J. of the Japanese Society for Artificial Intelligence, Vol.26, No.3, pp.307-308 (2011) (in Japanese).

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Industrial property rights

Patent   Number of applications: 19   Number of registrations: 40
Utility model   Number of applications: 0   Number of registrations: 0
Design   Number of applications: 0   Number of registrations: 0
Trademark   Number of applications: 0   Number of registrations: 0

Professional Memberships

  • The Japan Soceity of Evolutionary Computation

  • IEEE (IEEE Systems, Man, and Cybernetics Society, IEEE Computational Intelligence Society)

Committee Memberships

  • IEEE Systems, Man, and Cybernetics Society   Board of Governors member   Foreign country

    2016.1 - 2018.12   

  • IEEE Systems, Man, and Cybernetics Society   Japan Chapter Chair   Foreign country

    2016.1 - 2017.12   

  • IEEE Systems, Man, and Cybernetics Society   Japan Chapter Chair   Foreign country

    2014.1 - 2015.12   

  • 進化計算学会   Executive   Domestic

    2011.4 - 2012.9   

  • 進化計算学会   Executive   Domestic

    2010.4 - 2011.3   

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Academic Activities

  • Associate Editor for Cybernetics International contribution

    IEEE Int. Conf. on Systems, Man and Cybernetics (SMC2021)  ( on-line ) 2021.10

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    Type:Competition, symposium, etc. 

  • Special Session Chair International contribution

    IEEE Int. Conf. on Systems, Man and Cybernetics (SMC2020)  ( on-line ) 2020.10

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    Type:Competition, symposium, etc. 

  • Session Chair International contribution

    IEEE World Conference on Computational Intelligence (WCCI2020)  ( on-line ) 2020.7

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    Type:Competition, symposium, etc. 

  • Advisory Committee member International contribution

    18th IEEE Int. Conf. on Dependable, Autonomic & Secure Computing (DASC 2020)  ( on-line ) 2020.6

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    Type:Competition, symposium, etc. 

  • International Advisory Board member International contribution

    6th Int. Conf. on Soft Computing & Machine Intelligence (ISCMI 2019)  ( Johannesburg SouthAfrica ) 2019.11 - 2019.3

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    Type:Competition, symposium, etc. 

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Other

  • Reviewed Int. Conf. full paper authored by two my students and myself received the Student Best Paper Award; award were given to only student authors. Yuhao Li, Jun Yu, Hideyuki Takagi and Ying Tan, "Accelerating Fireworks Algorithm with Weight-based Guiding Sparks," 10th International Conference on Swarm Intelligence (ICSI2019), Chiang Mai, Thailand, pp.257-266 (July 26-30, 2019).

    2019.7

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    We introduce two strategies into the guided fireworks algorithm (GFWA) to further improve its performance by generating one or more weight-based guiding spark individual(s) for each firework individual. The first strategy assigns different weights to spark individuals under each firework individual according to their fitness and then calculates one or more guiding vector(s) to guide the firework individual to evolve into potential directions. The second strategy decides the number of weight-based guiding spark individuals dynamically based on the evolution of a firework individual, i.e. if a firework individual does not evolve and survive in the next generation, then the second strategy reduces the number of spark individuals generated around the firework individual and generates the same reduced number of weight-based guiding spark individuals additionally. We design a controlled experiment to evaluate the performance of our proposal using CEC2013 benchmark functions with five different dimensions. The experiment results confirm that the proposed strategies can provide effective guidance information to improve the GFWA performance significantly, and its acceleration effect for higher dimensional tasks is more obvious.

  • Organizing two international conferences co-sponsored by Kyushu University

    2018.9

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    General Chairとして,国際会議iCAST2018(61編の発表と77名の参加者)を組織し福岡で開催した.
    General Chairとして,国際会議5-SENSE2018(25編の発表と29名の参加者)を組織し福岡で開催した.

  • Plenary Speaker at the 9th Int. Conf. on Swarm Intelligence (ICSI2018)

    2018.6

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    2018年6月17-22日に上海で開催された9th Int. Conf. on Swarm Intelligence (ICSI2018)に招待され,Plenary talkを行った.http://www.ic-si.org/2018/plenary-speakers/

  • Organizing an international conference co-sponsored by Kyushu University

    2017.7

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    国際会議ICSI2017(133編の発表と120名の参加者),および,国際会議DMBD2017(53編の発表と60名の参加者)のGeneral Chairとして,福岡で開催した

  • Organizing an international conference co-sponsored by Kyushu University

    2015.11

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    国際会議SoCPaR2015のGeneral Chairとして,36か国から400件以上の論文投稿を集め,

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Research Projects

  • 進化計算のための知識獲得手法の確立

    2018.4 - 2021.3

    九州大学 

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    Authorship:Principal investigator 

    Grant-in-Aid for Scientific Research (18K11470).

  • 進化計算研究のための知識獲手法の確立

    Grant number:18K11470  2018 - 2022

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)

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    Authorship:Principal investigator  Grant type:Scientific research funding

  • 半導体製造における撮像欠陥数の推定に関する研究

    2017.10 - 2018.3

    Joint research

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    Authorship:Coinvestigator(s)  Grant type:Other funds from industry-academia collaboration

  • 音響学的音韻論の試み:英語音声におけるスペクトルの時間変化と音節形成

    Grant number:17H06197  2017 - 2019

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Challenging Research(Pioneering)

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    Authorship:Coinvestigator(s)  Grant type:Scientific research funding

  • デザイン人間科学サマースクール

    2017

    海外留学支援制度・短期受入れ

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    Authorship:Coinvestigator(s)  Grant type:Contract research

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Class subject

  • 先端情報生命科学Ⅱ

    2021.12 - 2022.2   Winter quarter

  • デザイン人間科学特別演習Ⅱ

    2021.10 - 2022.3   Second semester

  • デザイン人間科学特論B

    2021.10 - 2022.3   Second semester

  • 先端情報生命科学Ⅰ

    2021.10 - 2021.12   Fall quarter

  • デザイン人間科学特別演習Ⅱ

    2021.4 - 2021.9   First semester

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FD Participation

  • 2018.11   Role:Participation   Title:メンタルヘルス研修会

    Organizer:University-wide

  • 2017.2   Role:Participation   Title:自殺防止メンタルヘルス研修会

    Organizer:University-wide

  • 2017.2   Role:Participation   Title:障害者支援に係るファカルティ・ディベロップメント

    Organizer:University-wide

  • 2017.2   Role:Participation   Title:英語で授業を行う際の注意点

    Organizer:University-wide

  • 2016.5   Role:Participation   Title:平成28年度第1回SHARE-Qセミナー

    Organizer:University-wide

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Visiting, concurrent, or part-time lecturers at other universities, institutions, etc.

  • 2021  筑波大学  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:3月3日~3月31日

  • 2011  会津大学  Classification:Intensive course  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:9月8日

  • 2008  東和大学  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:4月10日~9月30日

  • 2007  東和大学  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:4月10日~9月30日

  • 2006  Universidad Carlos III de Madrid  Classification:Intensive course  Domestic/International Classification:Overseas 

    Semester, Day Time or Duration:3月15日〜3月22日

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Participation in international educational events, etc.

  • 2018.11

    デザイン人間科学国際コース主催

    Philippine大学Manila校での一日セミナー

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    Venue:Manila市,Philippine

    Number of participants:100

  • 2018.3

    デザイン人間科学国際コース主催

    Philippine大学Diliman校と,Philippine大学Los Banos校での一日セミナー

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    Venue:Manila地区,Philippine

    Number of participants:100

  • 2017.11

    デザイン人間科学国際コース主催

    Universitas Muslim Indonesia と,Universitas Hasanuddin での一日セミナー

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    Venue:Makassar,Indonesia

    Number of participants:150

  • 2016.11

    デザイン人間科学国際コース主催

    Sebelas Maret大学と,ガジャマダ大学での一日セミナー

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    Venue:Surakarta, および,Yogyakarta,Indonesia

    Number of participants:200

  • 2015.11

    Bandung工科大学で開催のデザイン人間科学国際コース

    Bandung工科大学で開催のデザイン人間科学国際コース主催の一日セミナー

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    Venue:Bandung, Indonesia

    Number of participants:200

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Other educational activity and Special note

  • 2021  Special Affairs  PhD Research Review Committee (School of Mechanical Engineering, Tel-Aviv University, Israel)

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    PhD Research Review Committee (School of Mechanical Engineering, Tel-Aviv University, Israel)

  • 2018  Special Affairs  I organized the Meeting of Students and Young Researchers of SMC Taiwan-Japan Chapters in Miyazaki. Total 16 graduate students from Taiwan and Japan participated this educational event.

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    I organized the Meeting of Students and Young Researchers of SMC Taiwan-Japan Chapters in Miyazaki. Total 16 graduate students from Taiwan and Japan participated this educational event.

  • 2017  Special Affairs  External Academic Advisory of Dept. of Electrical Engineering, Hong Kong City University in 2015 - 2017.

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    External Academic Advisory of Dept. of Electrical Engineering, Hong Kong City University in 2015 - 2017.

  • 2017  Special Affairs  referee of a doctoral dissertation and opponent of its Ph.D. candidate (Hong Kong City University, July, 2017 - Sept., 2017)

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    referee of a doctoral dissertation and opponent of its Ph.D. candidate (Hong Kong City University, July, 2017 - Sept., 2017)

  • 2016  Class Teacher  学部

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Outline of Social Contribution and International Cooperation activities

  • 2018 - 2019: Director of Fuzzy Logic Systems Institute /
    2018 - 2019: Research Ethics Committee member of Fuzzy Logic Systems Institute /
    2016 - 2017: Director of Fuzzy Logic Systems Institute /
    2016 - 2017: Research Ethics Committee member of Fuzzy Logic Systems Institute /
    2014 - 2015: Director of Fuzzy Logic Systems Institute /
    2014 - 2015: Research Ethics Committee member of Fuzzy Logic Systems Institute /
    2012 - 2013: Director of Fuzzy Logic Systems Institute /
    2012 - 2013: Research Ethics Committee member of Fuzzy Logic Systems Institute /
    2010 - 2011: Director of Fuzzy Logic Systems Institute /
    2008 - 2011: Research Ethics Committee member of Fuzzy Logic Systems Institute /
    2002 - 2009: Councilor of Fuzzy Logic Systems Institute /
    2004: Examinor of Academis-Industry R&D Support Committee, Kyushu Industrial Technology Center /
    2001 - 2003: Examinor of Academis-Industry R&D Support Committee, Institute of Systems & Information Technologies/KYUSHU /

Social Activities

  • on-lineの最終講義「人間要素を取り込む計算知能」を学内外に発信すると共に,YouTube九州大学公式チャネルに登録して社会に公開した. https://www.youtube.com/watch?v=m1V3wsIbF8U

    九州大学大学院芸術工学研究院  on-line  2021.2

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    Audience:General, Scientific, Company, Civic organization, Governmental agency

    Type:Lecture

  • 「人間の感性+計算知能=芸術工学」のテーマで「出前授業」を行った.

    宮崎県立宮崎西高等学校  2019.9

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    Audience:Infants, Schoolchildren, Junior students, High school students

    Type:Seminar, workshop

  • 「人間の感性+計算知能=芸術工学」のテーマで「出前授業」を行った.

    宮崎県立延岡星雲高等学校  2017.10

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    Audience:Infants, Schoolchildren, Junior students, High school students

    Type:Seminar, workshop

  • 「人間の感性+計算知能=芸術工学」のテーマで「出前授業」を行った.

    鹿児島県立鹿児島中央高等学校  2017.7

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    Audience:Infants, Schoolchildren, Junior students, High school students

    Type:Seminar, workshop

  • 香港市城大学の学部教育(計算機工学)の外部評価委員 任期(2015~2017年)

    2017

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    香港市城大学の学部教育(計算機工学)の外部評価委員
    任期(2015~2017年)

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Media Coverage

  • Hasanuddin大学での学長,副学長,国際Offcice所長,各学部長との懇談をHasanuddin大学が撮影し,公開している https://www.youtube.com/watch?v=hlvmq4aV2Fg https://www.youtube.com/watch?v=xNdc7d00I5s

    YouTube  2015.3

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    Hasanuddin大学での学長,副学長,国際Offcice所長,各学部長との懇談をHasanuddin大学が撮影し,公開している
    https://www.youtube.com/watch?v=hlvmq4aV2Fg
    https://www.youtube.com/watch?v=xNdc7d00I5s

  • 11月1日に開催された九州大学主催「エジプトにおける日本留学フェア2012」の様子が翌2日のNHK全国ニュースで報道された.その中で,九大法被を着てエジプトの学生に説明している様子が報道された. TV or radio program

    NHK  2012.11

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    11月1日に開催された九州大学主催「エジプトにおける日本留学フェア2012」の様子が翌2日のNHK全国ニュースで報道された.その中で,九大法被を着てエジプトの学生に説明している様子が報道された.

  • 現地大学での招待講演の紹介 Newspaper, magazine

    EL MERIDIANO  2005.8

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    現地大学での招待講演の紹介

  • 現地大学での招待講演の紹介 Newspaper, magazine

    El Universal  2005.8

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    現地大学での招待講演の紹介

  • インタラクティブ進化計算の研究紹介 Newspaper, magazine

    日立機電コミュニケーション誌  1999.11

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    インタラクティブ進化計算の研究紹介

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Acceptance of Foreign Researchers, etc.

  • 深圳大学

    Acceptance period: 2019.1   (Period):Less than 2 weeks

    Nationality:China

  • 北京大学

    Acceptance period: 2017.12 - 2018.3   (Period):1 month or more

    Nationality:China

    Business entity:On-campus funds

  • 北京大学

    Acceptance period: 2016.12   (Period):Less than 2 weeks

    Nationality:China

    Business entity:On-campus funds

  • 北京大学

    Acceptance period: 2016.12   (Period):Less than 2 weeks

    Nationality:China

    Business entity:On-campus funds

  • 北京大学

    Acceptance period: 2016.12   (Period):Less than 2 weeks

    Nationality:China

    Business entity:On-campus funds

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Travel Abroad

  • 2019.12

    Staying countory name 1:China   Staying institution name 1:IEEE SSCI2019

  • 2019.11

    Staying countory name 1:Indonesia   Staying institution name 1:IEEE R10-HTC2019

  • 2019.7

    Staying countory name 1:Thailand   Staying institution name 1:ISCI2019

    Staying institution name 2:Walailak大学

  • 2019.6

    Staying countory name 1:New Zealand   Staying institution name 1:CEC2019

  • 2019.2

    Staying countory name 1:Korea, Republic of   Staying institution name 1:延世大学

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