Tomohiro Harada

Affiliation

Faculty of System Design, Tokyo Metropolitan University, Japan

Assistant Professor

Email: harada -at- tmu.ac.jp

Bibliography

Education experience

Buisiness experience

Research area

Evolutionary Computation, Machine Learning, Intelligent Agent, Sleep Measurement, Game AI

Publication

Journal

• Tomohiro Harada "A pairwise ranking estimation model for surrogate-assisted evolutionary algorithms," Complex & Intelligent Systems, 2023.online

• Tomohiro Harada, "A frequency-based parent selection for reducing the effect of evaluation time bias in asynchronous parallel multi-objective evolutionary algorithms," Natural Computing, 2022.online

• Tomohiro Harada, Johei Matsuoka, Kiyohiko Hattori, "Behavior Analysis of Emergent Rule Discovery for Cooperative Automated Driving Using Deep Reinforcement Learning,", Artificial Life and Robotics, pp. 1-12, Springer, 2022.online

• Tomohiro Harada, Sohei Kino, Ruck Thawonmas, "Investigating The Influence of Survival Selection and Fitness Estimation Method in Genotype-based Surrogate-assisted Genetic Programming," Artificial Life and Robotics, Springer, pp. 1-11, 2022.online

• Yusuke Goto, Hiroyuki Morita, Yasuyuki Shirai, Hisashi Ichikawa, Naoki Hamada, Tomohiro Harada, "Design of Subsidy Payment Policies with Social Simulation- Report of Evolutionary Computation Competition 2021,", Transaction of the Japanese Society for Evolutionary Computation, Vol. 13, No. 1, pp. 23-39, 2022. (in Japanese)online

• Tomohiro Harada, Enrique Alba, Gabriel Luque, "A fresh approach to evaluate performance in distributed parallel genetic algorithms," Applied Soft Computing (2020 Impact factor=6.725), Vol. 119, 108540, 22 pages, 2022.online

• Naoki Hamada, Suguru Oho, Yuki Tanigaki, Tomohiro Harada, Yusuke Nojima, "Random Number Generation Problems based on Cognitive Biases for In-Game Events -- Report of Evolutionary Computation Competition 2020--," Transaction of the Japanese Society for Evolutionary Computation, Vol. 12, No. 3, pp. 112-124, 2021. (in Japanese)online

• Hayato Noguchi, Akari Sonoda, Tomohiro Harada, Ruck Thawonmas, "Improving CPU utilization of interleaving generation parallel evolutionary algorithm with precedence evaluation of tentative solutions and their suspension," SICE Journal of Control, Measurement, and System Integration (JCMSI), Vol. 14, No. 1, pp. 242-256, 2021.online

• Tomohiro Harada, Misaki Kaidan, Ruck Thawonmas, "Comparison of synchronous and asynchronous parallelization of extreme surrogate-assisted multi-objective evolutionary algorithm," Natural Computing (2019 Impact factor=1.495), 31 pages, 2020. online

• Tomohiro Harada, Enrique Alba, "Parallel Genetic Algorithms: A Useful Survey," ACM Computing Surveys (2019 Impact factor= 7.990), Vol. 53, No. 4, 39 pages, 2020.online

• Syuuya Ohtomo, Tomohiro Harada, Ruck Thawonmas, Takuo Ito, "Oil Leak Detection with Machine Learning and Topological Data Analysis," Information Processing Society of Japan Journal, Vol. 61, No. 8, pp. 1294-1305, 2020. (in Japanese) online

Conference Paper

2022

• Hitomi Kano, Tomohiro Harada, Yukiya Miura, "Differential Evolution Using Surrogate Model Based on Pairwise Ranking Estimation for Constrained Optimization Problems," Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS 2022), 2022.

• Takuya Hakoishi, Tomohiro Harada, Yukiya Miura, " Improving Data Sampling Efficiency of Sensitivity Analysis Based on Bilevel Multi-objective Evolutionary Algorithm," Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS 2022), 2022.

• Tomohiro Harada, Johei Matsuoka, Kiyohiko Hattori, "Emergent Rule Discovery for Automated Driving Using Multi-Agent Simulation," the Joint Symposium: 27th International Symposium on Artificial Life and Robotics, 7th International Symposium on BioComplexity, and 5th International Symposium on Swarm Behavior and Bio-Inspired Robotics (AROB-ISBC-SWARM 2022), pp. 1804-1809, 2022.

• Sohei Kino, Tomohiro Harada, Ruck Thawonmas, "Investigating the Effect of Survival Selection Policy in Surrogate-assisted Genetic Programming," the Joint Symposium: 27th International Symposium on Artificial Life and Robotics, 7th International Symposium on BioComplexity, and 5th International Symposium on Swarm Behavior and Bio-Inspired Robotics (AROB-ISBC-SWARM 2022), pp. 295-300, 2022.

2021

• Koki Tsujino, Tomohiro Harada, Ruck Thawonmas, "Adaptation of Search Generations in Extreme Learning Assisted MOEA/D Based on Estimation Accuracy of Surrogate Model," IEEE Congress on Evolutionary Computation 2021 (CEC 2021), pp. 1519-1526, 2021.

• Hayato Noguchi, Tomohiro Harada, Ruck Thawonmas, "Parallel Differential Evolution Applied to Interleaving Generation with Precedence Evaluation of Tentative Solutions," ACM Genetic and Evolutionary Computation Conference, pp. 706-713, 2021.

2020

• Tomohiro Harada, "Search Progress Dependent Parent Selection for Avoiding Evaluation Time Bias in Asynchronous Parallel Multi-Objective Evolutionary Algorithms," 2020 IEEE Symposium Series on Computational Intelligence (SSCI) (SSCI 2020), pp. 1013-1020, Canberra, Australia (online), 2020.

• Tomohiro Harada, "A Study on Efficient Asynchronous Parallel Multi-Objective Evolutionary Algorithm with Waiting Time Limitation," Theory and Practice of Natural Computing 2020 (TPNC 2020), Volume 12494 of the Lecture Notes in Computer Science series, pp. 121-132, 2020.

• Hayato Noguchi, Akari Sonoda, Tomohiro Harada, Ruck Thawonmas, "Interleaving Generation Evolutionary Algorithm with Precedence Evaluation of Tentative Offspring," 2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), Chiang Mai, Thailand (online), pp. 832-837, 2020.

• Sohei Kino, Tomohiro Harada, Ruck Thawonmas, "Proposal of Surrogate Model for Genetic Programming Based on Program Structure Similarity," 2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), Chiang Mai, Thailand (online), pp. 808-813, 2020.

• Koki Tsujino, Tomohiro Harada, Ruck Thawonmas, "Analysis of Relation between Prediction Accuracy of Surrogate Model and Search Performance on Extreme Learning Machine Assisted MOEA/D," 2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), Chiang Mai, Thailand (online), pp. 820-825, 2020.

• Tomohiro Harada, Kei Murano, Ruck Thawomnas, "Proposal of Multimodal Program Optimization Benchmark and Its Application to Multimodal Genetic Programming," IEEE Congress on Evolutionary Computation 2020, pp. 1-8, Glasgow, United Kingdom (online), 2020.

Award

• 2021 December, IEEE Computational Intelligence Society Japan Chapter Young Researcher Award, 2021 Symposium on Evolutionary Computation

• Symposium on the Japanese Society for Evolutionary Computation 2020 Evolutionary Computation Competition 2020 Single-objective Optimization Category Special Award, Multi-objective Optimization Category 2nd Winner (Tomohiro Harada)

• Symposium on the Japanese Society for Evolutionary Computation 2019 Evolutionary Computation Competition 2019 Multi-objective Optimization Category Winner (Tomohiro Harada and Hayato Noguchi)

• IEEE GCCE 2019 Excellent Poster Award Outstanding Prize

  Awarded paper: Ryota Ishii, Ruck Thawonmas, Tomohiro Harada, "An Analysis of Highlight AI Using Game Experience in Fighting Game," 2019 IEEE 8th Global Conference on Consumer Electronics (IEEE GCCE 2019), October 14, 2019.

• 2019 September, the IPSJ Kansa-Branch Convention 2019 Encouragement Award (co-author)

• 2018 June, IEEE Computational Intelligence Society Japan Chapter Young Researcher Award, the 11th Symposium on Computational Intelligence

• 2017 December, Symposium on the Japanese Society for Evolutionary Computation 2017 Evolutionary Computation Competition 2017 Industrial-Use Special Award (Tomohiro Harada, Shuya Otomo)

• IEEE GCCE2017 Outstanding Demo! Award

  Awarded paper: Jorge Arturo Morán Bravo, Pujana Paliyawan, Tomohiro Harada, Ruck Thawonmas, "Intelligent Assistant for Providing Instructions and Recommending Motions During Full-body Motion Gaming," 2017 IEEE 6th Global Conference on Consumer Electronics (GCCE 2017), Aichi, Japan, October 24-27, pp. 342-343, 2017.

• 2017 March, The Best Student Presentation Award of the 79th National Convention of IPSJ (co-author)

• 2016 December, Journal paper award from System and Information, The Society of Instrument and Control Engineers (1st author).

  Awarded paper: Tomohiro Harada, Keiki Takadama, Hiroyuki Sato, "Promoting Machine-Code Program Evolution in Asynchronous Genetic Programming," SICE Journal of Control, Measurement, and System Integration (JCMSI), Vol. 9, No. 2, pp. 93-102, 2016.

• 2016 December, SICE SSI Young Research Award (1st author).

• 2016 September, IEEE CIG2016 the 1st AIBIRDS Level Generation Competition Fun Track (advisor of project)

• 2016 March, The Best Student Presentation Award of the 78th National Convention of IPSJ (co-author)

• 2016 February, The 2015 IEEE Kansai Section Student Paper Award (co-author)

• 2015 November, the IEEE Japan Council Women In Engineering Best Paper Award (co-author)

  Awarded paper: Misaki Kaidan, Chun Yin Chu, Tomohiro Harada, Ruck Thawonmas, "Procedural Generation of Angry Birds Levels That Adapt to the Player's Skills Using Genetic Algorithm," 2015 IEEE 4th Global Conference on Consumer Electronics (GCCE2015), pp. 555-556, 2015.

• 2015 October, the IEEE GCCE 2015 Outstanding Student Paper Award (co-author)

  Awarded paper: Kamon Supaphon, Tung Nguyen, Tomohiro Harada, Ruck Thawonmas, Ikuko Nishikawa, "Improving Heuristic Search for RTS-Game Unit Micromanagement Using Reinforcement Learning," 2015 IEEE 4th Global Conference on Consumer Electronics (GCCE2015), pp. 51-52, 2015.

• 2015 October, the IPSJ Kansa-Branch Convention 2015 Best Student Presentation Award (co-author)

• 2012 December, SICE SSI Young Research Award (co-author)

• 2012 September, TriSAI2012 Student Paper Award (co-author)

  Awarded paper: Yuya Sawadaishi, Tomohiro Harada, Yoshihiro Ichikawa, Keiki Takadama, "Interactive Assistant System for Understanding Pareto Solution in Multi-Dimensional Space," Triangle Symposium on Advanced ICT 2012 (TriSAI2012), 2012.

Research support

Current

• Grant-in-Aid for Young Scientists, Principal Investigator

  Title: "Evolutionary Algorithm with Binary Classification Machine Learning Model for Solving Expensive Optimization Problems"
  Research period: 2021 April 1 - 2024 March 31 Funding Agency: Japan Society for the Promotion of Science

Completed

• NICT International Exchange Program, Host Researcher

  Title: "Scalability of Parallel Evolutionary Computation and Its Applications"
  Research period: (declined) Funding Agency: National Institute of Information and Comunications Technology (NICT)

• Grant-in-Aid for Scientific Research (C), Co-Investigator

  Title: "Development of Automatic Live Streaming Contents Generation for Health Promotion and Spectator Participation Improvement Mechanisms"
  Research period: 2019 April 1 - 2022 March 31 Funding Agency: Japan Society for the Promotion of Science

• Grant-in-Aid for Young Scientists, Principal Investigator

  Title: "Proposal of Parallel Evolutionary Algorithm Independent of Ununiformity of Solution Evaluation Time"
  Research period: 2019 April 1 - 2021 March 31 Funding Agency: Japan Society for the Promotion of Science

• Grant-in-Aid for Scientific Research (B) (Generative Research Field), Co-Investigator

  Title: "Reinforcement of Spacecraft Computer System through Bit Inversion: Sustainablity by Program Evolution"
  Research period: 2016 July 19 - 2019 March 31 Funding Agency: Japan Society for the Promotion of Science

• Funded Research (Ito Kogyo Corporation), Principal Investigator

  Title: "A Method of Leak Detection"
  Research period: 2018 April 1 - 2018 September 30 Funding Agency: Ito Kogyo Corporation

• Funded Research (Ito Kogyo Corporation), Principal Investigator

  Title: "A Method of Leak Detection"
  Research period: 2017 November 27 - 2018 March 31 Funding Agency: Ito Kogyo Corporation

• Cooperative research (The University of Electro-Communications, Ritsumeikan University, and Yamaha Corporation), Co-Investigator

  Title: "A Study of Influence of Sound Synchronized with Bio-information on Sleep Behavior"
  Research period: 2016 Novembor 1 - 2017 October 31 Funding Agency: Yamaha Corporation

• Grant-in-Aid for JSPS Fellow, Principal Investigator

  Title: "Program Evolution on Tierra-based On-Board Computer"
  Research period: 2012 April 1 - 2015 March 31 Funding Agency: Japan Society for the Promotion of Science

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