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.

2019

• Tomohiro Harada, "Mathematical Model of Asynchronous Parallel Evolutionary Algorithm to Analyze Influence of Evaluation Time Bias," IEEE 6th the Asia-Pacific Conference on Computer Science and Data Engineering 2019 (IEEE CSDE 2019), Melbourne, Australia. December 9-11, 2019.

• Enzhi Zhang, Tomohiro Harada, Ruck Thawonmas, "Using Graph Convolution Network for Predicting Performance of Automatically Generated Convolution Neural Networks," IEEE 6th the Asia-Pacific Conference on Computer Science and Data Engineering 2019 (IEEE CSDE 2019), Melbourne, Australia. December 9-11, 2019.

• Sunee Sae-Lao, Pujana Paliyawan, Ruck Thawonmas, Tomohiro Harada, "Enhance Physical and Mental Well-being of Game Players in a Endless Running Game," 2019 IEEE 8th Global Conference on Consumer Electronics (IEEE GCCE 2019), October 14, 2019. (accepted)

• Junjie Xu, Pujana Paliyawan, Ruck Thawonmas, Tomohiro Harada, "Player Dominance Adjustment: Promoting Self-Efficacy and Experience of Game Players by Adjusting Dominant Power," 2019 IEEE 8th Global Conference on Consumer Electronics (IEEE GCCE 2019), October 14, 2019. (accepted)

• Zhou Fang, Pujana Paliyawan, Ruck Thawonmas, Tomohiro Harada, "Towards an Angry-Birds-like Game System for Promoting Mental Well-being of Players Using Art-Therapy-embedded PCG," 2019 IEEE 8th Global Conference on Consumer Electronics (IEEE GCCE 2019), October 14, 2019. (accepted)

• 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. (accepted)

• Shubu Yoshida, Tomohiro Harada, Ruck Thawonmas, "Multimodal Genetic Programming Using Program Similarity Measurement and Its Application to Wall-Following Problem," Genetic and Evolutionary Computation Conference 2019 (GECCO 2019), pp. 356-357, Prague, Czech, 2019.

• Ryota Ishii, Suguru Ito, Ruck Thawonmas and Tomohiro Harada, "A Fighting Game AI Using Highlight Cues for Generation of Entertaining Gameplay," IEEE Conference on Games 2019 (CoG 2019), London, UK, August 20-23, 2019.

• Takahiro Kusano, Yunshi Liu, Pujana Paliyawan, Ruck Thawonmas and Tomohiro Harada, "Motion Gaming AI using Time Series Forecasting and Dynamic Difficulty Adjustment for Improving Exercise Balance and Enjoyment," IEEE Conference on Games 2019 (CoG 2019), London, UK, August 20-23, 2019.

• Febri Abdullah, Pujana Paliyawan, Ruck Thawonmas, Tomohiro Harada and Fitra Bachtiar, "Angry Birds Level Generator with Rube Goldberg Machine Mechanism," IEEE Conference on Games 2019 (CoG 2019), London, UK, August 20-23, 2019.

• Wenwen Ouyang, Ruoyu Gao, Pujana Paliyawan, Ruck Thawonmas and Tomohiro Harada, "Sleepy Style Music through Variational Autoencoder," the 7th International Conference on Serious Games and Applications for Health (IEEE SeGAH 2019), Kyoto, Japan August 5-7, 2019.

• Febri Abdullah, Changeun Yang, Pujana Paliyawan, Ruck Thawonmas, Tomohiro Harada and Fitra A. Bachtiar, "Effects of Angry Birds-like Live Streaming on Working Memory," the 7th International Conference on Serious Games and Applications for Health (IEEE SeGAH 2019), Kyoto, Japan August 5-7, 2019.

• Ryota Ishii, Suguru Ito, Tomohiro Harada and Ruck Thawonmas, "A Visual Analysis of Gameplay in a Fighting Game," the 18th NICOGRAPH International 2019, Shaanxi, China, July 5-7, 2019.

• Hayato Noguchi, Ryota Ishii, Ruck Thawonmas and Tomohiro Harada, "Improving Rolling Horizon Evolutionary Algorithm in a Fighting Game," the 18th NICOGRAPH International 2019, Shaanxi, China, July 5-7, 2019.

• Hideyasu Inoue, Yoshina Takano, Ruck Thawonmas and Tomohiro Harada, "Verification of Applying Curiosity-Driven to Fighting Game AI," the 18th NICOGRAPH International 2019, Shaanxi, China, July 5-7, 2019.

• Yoshina Takano, Hideyasu Inoue, Ruck Thawonmas and Tomohiro Harada, "Self-Play for Training General Fighting Game AI," the 18th NICOGRAPH International 2019, Shaanxi, China, July 5-7, 2019.

• Febri Abdullah, Changeun Yang, Pujana Paliyawan, Ruck Thawonmas, Tomohiro Harada, Fitra A. Bachtiar, "Promoting Emotions with Angry Birds-like Gameplay on Rube Goldberg Machine Levels," 2019 IEEE International Conference on Consumer Electronics – Asia (ICCE-Asia) (IEEE ICCE-Asia 2019), Bangkok, Thailand, June, 2019.

• Ngoc Cuong Nguyen, Zhenao Wei, Pujana Paliyawan, Hai V. Pham, Ruck Thawonmas, Tomohiro Harada, "Using GWAP to Generate Informative Descriptions for Artwork Images on a Live Streaming Platform," 2019 IEEE International Conference on Consumer Electronics – Asia (ICCE-Asia) (IEEE ICCE-Asia 2019), Bangkok, Thailand, June, 2019.

• Changeun Yang, Pujana Paliyawan, Ruck Thawonmas, Tomohiro Harada, "TGIF!: Selecting the most healing TNT by optical flow," AAAI 2019 Spring Symposium on "Interpretable AI for Well-Being: Understanding Cognitive Bias and Social Embeddedness", Palo Alto, USA, 2019.

2018

• Tomohiro Harada, "Adaptive Asynchrony in Semi-Asynchronous Evolutionary Algorithm Based on Performance Prediction Using Search History," Genetic and Evolutionary Computation Conference 2018 (GECCO 2018), pp. 1031-1038, Kyoto, Japan, July 15-19, 2018.

• Tomohiro Harada, Misaki Kaidan, Ruck Thawonmas, "Crowding Distance based Promising Solution Selection in Surrogate Assisted Asynchronous Multi-Objective Evolutionary Algorithm," Genetic and Evolutionary Computation Conference 2018 (GECCO 2018), pp. 253-254, Kyoto, Japan, July 15-19, 2018.

• Kei Murano, Shubu Yoshida, Tomohiro Harada, Ruck Thawonmas, "A Study on Multimodal Genetic Programming Introducing Program Simplification," Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems (SCIS&ISIS2018), pp. 109-114, Toyama, Japan, 2018.

• Jingdi Xu, Changeun Yang, Yuuki Okido, Pujana Paliyawan, Tomohiro Harada, Ruck Thawonmas, "An Angry Birds-like Game System for Promoting Players' Emotion," 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018), pp. 128-129, Nara, Japan, 2018.

• Ryota Ishii, Suguru Ito, Ruck Thawonmas, Tomohiro Harada, "An Analysis of Fighting Game AIs Having a Persona," 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018), pp. 558-559, Nara, Japan, 2018.

• Yoshina Takano, Suguru Ito, Tomohiro Harada, Ruck Thawonmas, "Utilizing Multiple Agents for Decision Making in a Fighting Game," 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018), pp. 562-563, Nara, Japan, 2018.

• Yuntian Ma, Enzhi Zhang, Koki Tsujino, Tomohiro Harada, Ruck Thawonmas, "An Object Matrix Input Format for a Deep AI in Angry Birds and the like," 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018), pp. 564-566, Nara, Japan, 2018.

• Changeun Yang, Pujana Paliyawan, Tomohiro Harada, Ruck Thawonmas, "Blow Up Depression with In-Game TNTs," 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018), pp. 786-787, Nara, Japan, 2018.

• Yoshina Takano, Wenwen Ouyang, Suguru Ito, Tomohiro Harada, Ruck Thawonmas, "Applying Hybrid Reward Architecture to a Fighting Game AI, "IEEE Conference on Computational Intelligence in Games 2018 (CIG 2018), pp. 433-436, Maarstricht, Netherlands, 2018.

• Makoto Ishihara, Suguru Ito, Ryota Ishii, Tomohiro Harada, Ruck Thawonmas, "Monte-Carlo Tree Search for Implementation of Dynamic Difficulty Adjustment Fighting Game AIs Having Believable Behaviors," IEEE Conference on Computational Intelligence in Games 2018 (CIG 2018), pp. 46-53, Maarstricht, Netherlands, 2018.

• Ryota Ishii, Suguru Ito, Makoto Ishihara, Tomohiro Harada and Ruck Thawonmas, "Monte-Carlo Tree Search Implementation of Fighting Game AIs Having Personas," IEEE Conference on Computational Intelligence in Games 2018 (CIG 2018), pp. 54-61, Maarstricht, Netherlands, 2018.

• Yuxuan Jiang, Pujana Paliyawan, Ruck Thawonmas, Tomohiro Harada, "An Audience Participation Angry Birds Platform for Social Well-Being," the 19th annual European GAME-ON Conference (GAME-ON 2018), pp. 116-120, Dundee, United Kingdom, 2018.

• Lilang Xiong, Zhenao Wei, Wenwen Ouyang, Yulin Cai, Ruck Thawonmas, Tomohiro Harada, Keiko Suzuki and Masaaki Kidachi, "Deep feature extraction based on an L2-constrained combination of center and softmax loss functions for ukiyo-e image recommendation," the 1st KDD Workshop on Data Science for Digital Art History: tackling big data Challenges, Algorithms, and Systems, London, United Kingdom, 2018.

• Yuntian Ma, Yoshina Takano, Enzhi Zhang, Tomohiro Harada, Ruck Thawonmas, "Playing Angry Birds with a Neural Network and Tree Search," 2018 Angry Birds AI Symposium, Stockholm, Sweden, 7 pages, Jul. 17, 2018.

• Lilang Xiong, Zhenao Wei, Wenwen Ouyang, Tomohiro Harada, Ruck Thawonmas, Keiko Suzuki, and Masaaki Kidachi, "Validation of Deep Features Using the 1-NN Algorithm for Image Similarity Computation," Proceedings of 2018 NICOGRAPH International, Tainan, Taiwan, p. 81, 2018.

• Changeun Yang, Yuxuan Jiang, Pujana Paliyawan, Tomohiro Harada, and Ruck Thawonmas, "Smile with Angry Birds: Two Smile-Interface Implementations," Proceedings of 2018 NICOGRAPH International, Tainan, Taiwan, p. 80, 2018.

• Hiiro Ohtsuka, Misaki Kaidan, Tomohiro Harada, Ruck Thawonmas, "Evolutionary Algorithm Using Surrogate Assisted Model for Simultaneous Design Optimization Benchmark Problem of Multiple Car Structures," Late-Breaking Abstract in Genetic and Evolutionary Computation Conference 2018 (GECCO 2018), pp. 55-56, Kyoto, Japan, July 15-19, 2018.

• Yusuke Tajima, Akinori Murata, Tomohiro Harada, Keiki Takadama, "Sleep Stage Re-Estimation Method According To Sleep Cycle Change," The AAAI 2018 Spring Symposium on "Beyond Machine Intelligence, Understanding Cognitive Bias and Humanity for Well-Being," pp. 280-284, March 26-28, 2018, Stanford University, Palo Alto, California USA.

• Yunshi Liu, Pujana Paliyawan, Takahiro Kusano, Tomohiro Harada, Ruck Thawonmas, "A Personalized Method for Calorie Consumption Assessment," The AAAI 2018 Spring Symposium on "Beyond Machine Intelligence, Understanding Cognitive Bias and Humanity for Well-Being," pp. 247-252, March 26-28, 2018, Stanford University, Palo Alto, California USA.

• Ayumu Shinya, Kazuki Mori, Tomohiro Harada, Ruck Thawonmas, "Potential Improvement of CNN-based Colorization for Non-natural Images," The International Workshop on Advanced Image Technology 2018 (IWAIT 2018), Chiang Mai, Thailand, Jan. 7-10, 2018.

2017

• Tomohiro Harada, Keiki Takadama, "A Study of Self-Adaptive Semi-Asynchronous Evolutionary Algorithm on Multi-Objective Optimization Problem," ACM Workshop on Parallel and Distributed Evolutionary Inspired Method (PDEIM) in Genetic and Evolutionary Computation Conference 2017 (GECCO2017), pp. 1812-1819, Berlin, Germany, July 15-19, 2017.

• Tomohiro Harada, Keiki Takadama, "Performance Comparison of Parallel Asynchronous Multi-Objective Evolutionary Algorithm with Different Asynchrony," IEEE Congress on Evolutionary Computation 2017, pp. 1215-1222, San Sebastian, Spain, June 5-8, 2017.

• Tomohiro Harada, Takahiro Kawashima, Morito Morishima, Keiki Takadama, "Improving Accuracy of Real-time Sleep Stage Estimation by Considering Personal Sleep Feature and Rapid Change of Sleep Behavior," 2017 AAAI Spring Symposium Series, pp. 665-672, 2017.

• Shubu Yoshida, Tomohiro Harada, Ruck Thawonmas, "Multimodal Genetic Programming by Using Tree Structure Similarity Clustering," IEEE 10th International Workshop on Computational Intelligence and Applications (IWCIA2017), pp. 85-90, Hiroshima, Japan, November 11-12, 2017.

• Kazuki Mori, Suguru Ito, Tomohiro Harada, Ruck Thawonmas, Kyung-Joong Kim, "Feature Extraction of Gameplays for Similarity Calculation in Gameplay Recommendation," IEEE 10th International Workshop on Computational Intelligence and Applications (IWCIA2017), pp. 171-176, Hiroshima, Japan, November 11-12, 2017.

• 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. (the IEEE GCCE 2017 Outstanding Demo! Award)

• Takahiro Kusano, Pujana Paliyawan, Tomohiro Harada, Ruck Thawonmas, "Towards Adaptive Motion Gaming AI with Player’s Behavior Modeling for Health Promotion," 2017 IEEE 6th Global Conference on Consumer Electronics (GCCE 2017), Aichi, Japan, October 24-27, pp. 270-271, 2017.

• Yuxuan Jiang, Tomohiro Harada, Ruck Thawonmas, "Procedural generation of angry birds fun levels using pattern-struct and preset-model," 2017 IEEE Conference on Computational Intelligence and Games (CIG 2017), New York, NY, August 22-25, pp. 154-161, 2017.

• Misaki Kaidan, Tomohiro Harada, Ruck Thawonmas, "Integrating Surrogate Evaluation Model and Asynchronous Evolution in Multi-Objective Evolutionary Algorithm for Expensive and Different Evaluation Time," ACM Workshop on Parallel and Distributed Evolutionary Inspired Method (PDEIM) in Genetic and Evolutionary Computation Conference 2017 (GECCO2017), pp. 1833-1840, Berlin, Germany, July 15-19, 2017.

• Suguru Ito, Makoto Ishihara, Marco Tamassia, Tomohiro Harada, Ruck Thawonmas and Fabio Zambetta, "Procedural Play Generation According to Play Arcs Using MonteCarloTree Search," 18th International Conference on Intelligent Games and Simulation (GAME-ON 2017), pp. 67-71, September 6-8, Carlow, Ireland, 2017.

• Kazuki Mori, Ayumu Shinya, Tomohiro Harada, Ruck Thawonmas, "Feature Extraction of Game Plays for Procedural Play Generation," NICOGRAPH international 2017, P-07, 2017.

• Suguru Ito, Makoto Ishihara, Tomohiro Harada, Ruck Thawonmas, "Automatic Generation of Game Plays Considering the Play Arc by the AI in a Fighting Game," NICOGRAPH international 2017, P-08, 2017.

• Ayumu Shinya, Nguyen Duc Tung, Tomohiro Harada, Ruck Thawonmas, "Object-Specific Style Transfer Based on Feature Map Selection Using CNNs," NICOGRAPH international 2017, P-09, 2017.

• Takahiro Kusano, Pujana Paliyawan, Tomohiro Harada, Ruck Thawonmas, "Analysis of Relationship between the Player's Behavior Change and the Effectiveness of a Health Promotion AI," NICOGRAPH international 2017, P-13, 2017.

• Pujana Paliyawan, Takahiro Kusano, Yuto Nakagawa, Tomohiro Harada, Ruck Thawonmas, "Adaptive Motion Gaming AI for Health Promotion," AAAI 2017 Spring Symposium, pp. 720-725, 2017.

• Yusuke Tajima, Tomohiro Harada, Keiki Takadama, "Sleep Stage Estimation Based on Appriximate Heartrate Calculated from Other Persons," AAAI 2017 Spring Symposium, pp. 734-739, 2017.

• Thawonmas Ruck, Tomohiro Harada, "AI for Game Spectators, Rise of PPG," AAAI 2017 Workshop on What's next for AI on games, pp. 1032-1033, San Francisco, USA, 2017.

2016

• Tomohiro Harada, Fumito Uwano, Takahiro Komine, Yusuke Tajima, Takahiro Kawashima, Morito Morishima, Keiki Takadama, "Real-Time Sleep Stage Estimation from Biological Data with Trigonometric Function Regression Model," 2016 AAAI Spring Symposium Series, pp. 348-353, 2016.

• Makoto Ishihara, Taichi Miyazaki, Chun Yin Chu, Tomohiro Harada, and Ruck Thawonmas, "Applying and Improving Monte-Carlo Tree Search in a Fighting Game AI," Proceedings of the 13th International Conference on Advances in Computer Entertainment Technology (ACE 2016), Osaka, Japan, Nov. 9-12, 2016.

• Shubu Yoshida, Makoto Ishihara, Taichi Miyazaki, Yuto Nakagawa, Tomohiro Harada, and Ruck Thawonmas, "Application of Monte-Carlo Tree Search in a Fighting Game AI," Proceedings of the 5th IEEE Global Conference on Consumer Electronics (GCCE 2016), Kyoto, Japan, pp. 623-624, Oct. 11-14, 2016.

• Suguru Ito, Zikun Guo, Chun Yin Chu, Tomohiro Harada, Ruck Thawonmas, "Efficient Implementation of Breadth First Search for General Video Game Playing," Proceedings of the 5th IEEE Global Conference on Consumer Electronics (GCCE 2016), Kyoto, Japan, pp. 625-626, Oct. 11-14, 2016.

• Kazuki Mori, Tung Nguyen, Tomohiro Harada, Ruck Thawonmas, "An Improvement of Matrix Factorization with Bound Constraints for Recommender Systems," 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), pp. 103-106, Kumamoto, 2016.

• Misaki Kaidan, Tomohiro Harada, Chun Yin Chu and Ruck Thawonmas, "Procedural Generation of Angry Birds Levels with Adjustable Difficulty," Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC 2016), Vancouver, Canada, pp. 1311-1316, Jul. 24-29, 2016.

• YuXuan Jiang, Misaki Kaidan, Chun Yin Chu, Tomohiro Harada, Ruck Thawonmas, "Procedural Generation of Angry Birds Levels using Building Constructive Grammar with Chinese-Style and/or Japanese-Style Models," Proceedings of ASIAGRAPH 2016, pp. 53-54, Mar. 5-6, Toyama, Japan, 2016.

• Chun-Yin Chu, Suguru Ito, Tomohiro Harada and Ruck Thawonmas, "Position-based Reinforcement Learning Biased MCTS for General Video Game Playing," IEEE Computational Intelligence and Games 2016 (CIG2016), pp. 443-450, 2016.

• Yusuke Tajima, Tomohiro Harada, Hiroyuki Sato, Keiki Takadama, "Personalized Real-Time Sleep Stage from Past Sleep Data to Today’s Sleep Estimation," the 18th International Conference on Human-Computer Interaction (HCI2016), pp. 501-510, 2016.

2015

• 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.

• 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.

• Yuto Nakagawa, Kaito Yamamoto, Chun Yin Chu, Tomohiro Harada, Ruck Thawonmas, "Predicting the Opponent's Action Using the k-Nearest Neighbor Algorithm and a Substring Tree Structure," 2015 IEEE 4th Global Conference on Consumer Electronics (GCCE2015), pp. 553-554, 2015.

• Makoto Ishihara, Taichi Miyazaki, Pujana Paliyawan, Chun Yin Chu, Tomohiro Harada, Ruck Thawonmas, "Investigating Kinect-based Fighting Game AIs That Encourage Their Players to Use Various Skills," 2015 IEEE 4th Global Conference on Consumer Electronics (GCCE2015), pp. 351-352, 2015.

• Ryo Takano, Tomohiro Harada, Hiroyuki Sato, Keiki Takadama, "Toward Robustness Against Environmental Change Speed by Artificial Bee Colony Algorithm based on Local Information Sharing”, 2015 IEEE Congress on Evolutionary Computation (CEC2015), pp. 1424-1431, 2015.

• Takuma Fujitsuka, Tomohiro Harada, Keiki Takadama, Hiroyuki Sato, Tomohiro Yamaguchi, "Sightseeing Plan Recommendation System using Sequential Pattern Mining based on Adjacent Activities," The 10th Asian Control Conference 2015 (ASCC2015), 2015.

• Keiki Takadama, Yusuke Tajima, Tomohiro Harada, Atsushi Ishihara, and Morito Morishima, "Towards Ambient intelligence System for Good Sleep By Sound Adjusted to Heartbeat and Respiration," The AAAI 2015 Spring Symposia, Ambient Intelligence for Health and Cognitive Enhancement, AAAI (The Association for the Advancement of Artificial Intelligence), 2015.

• Kotaro Usui, Tomohiro Harada, Keiki Takadama, Hiroyuki Kamata, Seisuke Fukuda, Syujiro Sawai, and Shinichiro Sakai, "Adjusting SLIM Spacecraft Location Estimation to Crater Detection for High Precision and Computational Time Reduction," The 30th International Symposium on Space Technology and Science (ISTS2015), 2015-t-14, 2015.

• Shingo Tomura, Tomohiro Harada, Hiroyuki Sato, Keiki Takadama, and Makoto Aoki, "Estimating Surrounding Symptom Level of Dementia Person by Sleep Stage," The Ninth International Symposium on Medical Information and Communication Technology (ISMICT 2015), pp. 201-205, 2015.

2014

• Tomohiro Harada, Keiki Takadama, "Asynchronously Evolving Solutions with Excessively Different Evaluation Time by Reference-based Evaluation," Genetic and Evolutionary Computation Conference 2014 (GECCO2014), pp. 911-918, Vancouver, Canada, 2014.

• Tomohiro Harada, Keiki Takadama, "Asynchronous Evolution by Reference-based Evaluation, Tertiary Parent Selection and its Archive," 17th European Conference on Genetic Programming (EuroGP2014), Lecture Notes in Computer Science, Vol. 8599, Springer-Verlag, pp. 198-209, Granada, Spain, 2014.

• Tomohiro Harada, Keiki Takadama, "Maintaining, Minimizing, and Recovering Machine Language Program through SEU in On-Board Computer," International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS2014), Montreal, Canada, 2014.

• Takahiro Jinba, Tomohiro Harada, Hiroyuki Sato, and Keiki Takadama, "Multi Objective Optimization for Route Planning and Fleet Assignment in Regular and Non-regular Flights”, The 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES2014), in H. Handa, H. Ishibuchi, Y-S. Ong, K-C. Tan. (Eds.), Vol. 2, Springer-Verlag, pp. 561-575, Singapore, 2014.

• Ryo Takano, Tomohiro Harada, Hiroyuki Sato, and Keiki Takadama, "Artificial Bee Colony Algorithm based on Local Information Sharing in Dynamic Environment," The 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES2014), in H. Handa, H. Ishibuchi, Y-S. Ong, K-C. Tan. (Eds.), Vol. 1, Springer-Verlag, pp. 627-641, Singapore, 2014.

• Asami Mori, Tomohiro Harada, Yoshihiro Ichikawa, Keiki Takadama, "Favor Information Presentation and its Effect for Collective-Adaptive Situation," the 16th International Conference on Human-Computer Interaction (HCII2014), Lecture Notes in Computer Science, Springer, pp 455-466, Crete, Greece, 2014.

• Keiki Takadama, Tomohiro Harada, Hiroyuki Kamata, Shinji Ozawa, Seisuke Fukuda, Shujiro Sawai, “Evaluating an Integration of Spacecraft Location Estimation with Crater Detection Toward SLIM”, International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS2014), Montreal, Canada, 2014.

• Yusuke Tajima, Masaya Nakata, Tomohiro Harada, Keiji Sato, Keiki Takadama, “Sleep Stage Estimation Using Synthesized Data of Heart Rate and Body Movement,” The AAAI 2014 Spring Symposia, Big Data Becomes Personal, Knowledge into Meaning, AAAI (The Association for the Advancement of Artificial Intelligence), pp. 63-68, 2014.

• Keiki Takadama, Tomohiro Harada, Hiroyuki Sato, Kiyohiko Hattori, “What is Needed to Promote an Asynchronous Program Evolution in Genetic Programing?”, Learning and Intelligent Optimization Conference (LION8), Lecture Notes in Computer Science, Springer-Verlag, pp 227-241, Florida, USA, 2014.

2013

• Tomohiro Harada, Keiki Takadama, "Analyzing Program Evolution in Genetic Programming using Asynchronous Evaluation," In Pietro Liò, Orazio Miglino, Giuseppe Nicosia, Stefano Nolfi and Mario Pavone editors, Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems, ECAL 2013, pp. 713-720, Taormina, Italy, 2013.

• Tomohiro Harada, Keiki Takadama, "Asynchronous Evaluation based Genetic Programming, Comparison of Asynchronous and Synchronous Evaluation and its Analysis," 16th European Conference on Genetic Programming (EuroGP2013), Lecture Notes in Computer Science, Vol. 7831, Springer-Verlag, pp. 241-252, Vienna, Austria, 2013.

• Keiki Takadama, Yuya Sawadaishi, Tomohiro Harada, Yoshihiro Ichikawa, Keiji Sato, Kiyohiko Hattori, Hiroyuki Sato, Tomohiro Yamaguchi, “Towards Understanding of Pareto Solutions in Multi-Dimensional Space via Interactive System,” The 15th International Conference on Human-Computer Interaction (HCI International 2013), Lecture Notes in Computer Science, Vol. 8018, Springer–Verlag, pp. 137–146, 2013.

• Eri Homma, Toshinori Kagawa, Kiyohiko Hattori, Masayuki Otani, Masaya Nakata, Yoshihiro Ichikawa, Tomohiro Harada, Hiroyasu Matsushima, Keiji Sato, Keiki Takadama, and Nobuo Nakajima, "Estimation of Cooperation Navigation by Multiple Rovers Using Different Positioning Technique," The 29th International Symposium on Space Technology and Science (ISTS2013), 2013-j-06, 2013.

2012

• Tomohiro Harada, Yoshihiro Ichikawa, Keiki Takadama, "Evolving Conditional Branch Program in Tierra-based Asynchronous Genetic Programming," The 6th International Conference on Soft Computing and Intelligent Systems, and the 13th International Symposium on Advanced Intelligent Systems (SCIS-ISIS2012), pp. 1023-2018, Kobe, Japan, 2012.

• Tomohiro Harada, Rie Usami, Keiki Takadama, Hiroyuki Kamata, Seiji Ozawa, Seisuke Fukuda, Shujiro Sawai, Computational Time Reduction of Evolutionary Spacecraft Location Estimation toward Smart Lander for Investigating Moon," The 11th International Symposium on Artificial Intelligence, Robotics and Automation on Space (i-SAIRAS2012), Torino, Italy, 2012.

• 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), Tokyo, Japan, 2012.

• Kiyohiko Hattori, Eri Homma, Masayuki Otani, Masaya Nakata, Yoshihiro Ichikawa, Hiroyasu Matsushima, Tomohiro Harada, Keiki Takadama, "Automatic Cartography Method by Cooperation of Autonomous Micro Robots and Its Verification Through Simulations," The International Conference on Humanized Systems 2012 (ICHS2012), 2012

2011

• Tomohiro Harada, Keiki Takadama, "Adaptive Mutation Depending on Program Size in Asynchronous Program Evolution," The Third World Congress on Nature and Biologically Inspired Computing (NaBIC2011), pp. 440-445, Salamanca, Spain, 2011.

2010

• Tomohiro Harada, Masayuki Otani, Hiroyasu Matsushima, Kiyohiko Hattori, and Keiki Takadama, "Evolving Complex Programs in Tierra-based On-Board Computer on UNITEC-1," The 61st International Astronautical Congress (IAC2010), IAC-10-D1.2.9, Prague, Czech, 2010.

• Tomohiro Harada, Masayuki Otani, Yoshihiro Ichikawa, Kiyohiko Hattori, Hiroyuki Sato, Keiki Takadama, "Robustness to Bit Inversion in Registers and Acceleration of Program Evolution in On-Board Computer," The 10th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS2010), pp. 802-809, Sapporo, Japan 2010.

• Keiki Takadama, Tomohiro Harada, Kent Nakazawa, Masayuki Otani, Hiroyasu Matsushima, and Kiyohiko Hattori, "Fly to Venus, Program Evolving On-Board Computer in UNITEC-1," The Third International Symposium on Robot and Artificial Intelligence, 2010.