Adaptive mutation depending on program size in asynchronous program evolution. - Tomohiro Harada; Keiki Takadama (NaBIC, 2011)

Robustness to Bit Inversion in Registers and Acceleration of Program Evolution in On-Board Computer. - Tomohiro Harada; Masayuki Otani; Yoshihiro Ichikawa; Kiyohiko Hattori; Hiroyuki Sato; Keiki Takadama (J. Adv. Comput. Intell. Intell. Informatics, 2011)

Evolving conditional branch programs in Tierra-based Asynchronous Genetic Programming. - Tomohiro Harada; Yoshihiro Ichikawa; Keiki Takadama (SCIS&ISIS, 2012)

Analyzing Program Evolution in Genetic Programming using Asynchronous Evaluation. - Tomohiro Harada; Keiki Takadama (ECAL, 2013)

Asynchronous Evaluation Based Genetic Programming: Comparison of Asynchronous and Synchronous Evaluation and Its Analysis. - Tomohiro Harada; Keiki Takadama (EuroGP, 2013)

Towards Understanding of Relationship among Pareto Optimal Solutions in Multi-dimensional Space via Interactive System. - Keiki Takadama; Yuya Sawadaishi; Tomohiro Harada; Yoshihiro Ichikawa; Keiji Sato; Kiyohiko Hattori; Hiroyuki Sato; Tomohiro Yamaguchi 002 (HCI (15), 2013)

Sleep Stage Estimation Using Synthesized Data of Heart Rate and Body Movement. - Yusuke Tajima; Masaya Nakata; Tomohiro Harada; Keiji Sato; Keiki Takadama (AAAI Spring Symposia, 2014)

Asynchronous Evolution by Reference-Based Evaluation: Tertiary Parent Selection and Its Archive. - Tomohiro Harada; Keiki Takadama (EuroGP, 2014)

Asynchronously evolving solutions with excessively different evaluation time by reference-based evaluation. - Tomohiro Harada; Keiki Takadama (GECCO, 2014)

Favor Information Presentation and Its Effect for Collective-Adaptive Situation. - Asami Mori; Tomohiro Harada; Yoshihiro Ichikawa; Keiki Takadama (HCI (13), 2014)

What is Needed to Promote an Asynchronous Program Evolution in Genetic Programing? - Keiki Takadama; Tomohiro Harada; Hiroyuki Sato; Kiyohiko Hattori (LION, 2014)

Towards Ambient Intelligence System for Good Sleep By Sound Adjusted to Heartbeat and Respiration. - Keiki Takadama; Yusuke Tajima; Tomohiro Harada; Atsushi Ishihara; Morito Morishima (AAAI Spring Symposia, 2015)

Sightseeing plan recommendation system using sequential pattern mining based on adjacent activities. - Takuma Fujitsuka; Tomohiro Harada; Hiroyuki Sato; Keiki Takadama; Tomohiro Yamaguchi 002 (ASCC, 2015)

Toward robustness against environmental change speed by artificial bee colony algorithm based on local information sharing. - Ryo Takano; Hiroyuki Sato; Tomohiro Harada; Keiki Takadama (CEC, 2015)

Combining pathfmding algorithm with Knowledge-based Monte-Carlo tree search in general video game playing. - Chun Yin Chu; Hisaaki Hashizume; Zikun Guo; Tomohiro Harada; Ruck Thawonmas (CIG, 2015)

Investigating Kinect-based fighting game AIs that encourage their players to use various skills. - Makoto Ishihara; Taichi Miyazaki; Pujana Paliyawan; Chun Yin Chu; Tomohiro Harada; Ruck Thawonmas (GCCE, 2015)

Procedural generation of angry birds levels that adapt to the player's skills using genetic algorithm. - Misaki Kaidan; Chun Yin Chu; Tomohiro Harada; Ruck Thawonmas (GCCE, 2015)

Improving heuristic search for RTS-game unit micromanagement using reinforcement learning. - Supaphon Kamon; Tung Duc Nguyen; Tomohiro Harada; Ruck Thawonmas; Ikuko Nishikawa (GCCE, 2015)

Predicting the opponent's action using the k-nearest neighbor algorithm and a substring tree structure. - Yuto Nakagawa; Kaito Yamamoto; Chun Yin Chu; Tomohiro Harada; Ruck Thawonmas (GCCE, 2015)

Estimating surrounding symptom level of dementia patient by sleep stage. - Shingo Tomura; Tomohiro Harada; Hiroyuki Sato; Keiki Takadama; Makoto Aoki (ISMICT, 2015)

Applying and Improving Monte-Carlo Tree Search in a Fighting Game AI. - Makoto Ishihara; Taichi Miyazaki; Chun Yin Chu; Tomohiro Harada; Ruck Thawonmas (ACE, 2016)

Real-Time Sleep Stage Estimation from Biological Data with Trigonometric Function Regression Model. - Tomohiro Harada; Fumito Uwano; Takahiro Komine; Yusuke Tajima; Takahiro Kawashima; Morito Morishima; Keiki Takadama (AAAI Spring Symposia, 2016)

Procedural generation of angry birds levels with adjustable difficulty. - Misaki Kaidan; Tomohiro Harada; Chun Yin Chu; Ruck Thawonmas (CEC, 2016)

Position-based reinforcement learning biased MCTS for General Video Game Playing. - Chun Yin Chu; Suguru Ito; Tomohiro Harada; Ruck Thawonmas (CIG, 2016)

Efficient implementation of breadth first search for general video game playing. - Suguru Ito; Zikun Guo; Chun Yin Chu; Tomohiro Harada; Ruck Thawonmas (GCCE, 2016)

Application of Monte-Carlo tree search in a fighting game AI. - Shubu Yoshida; Makoto Ishihara; Taichi Miyazaki; Yuto Nakagawa; Tomohiro Harada; Ruck Thawonmas (GCCE, 2016)

Personalized Real-Time Sleep Stage from Past Sleep Data to Today's Sleep Estimation. - Yusuke Tajima; Tomohiro Harada; Hiroyuki Sato; Keiki Takadama (HCI (5), 2016)

An Improvement of Matrix Factorization with Bound Constraints for Recommender Systems. - Kazuki Mori; Tung Nguyen; Tomohiro Harada; Ruck Thawonmas (IIAI-AAI, 2016)

Procedural Generation of Angry Birds Levels using Building Constructive Grammar with Chinese-Style and/or Japanese-Style Models. - Yuxuan Jiang 002; Misaki Kaidan; Chun Yin Chu; Tomohiro Harada; Ruck Thawonmas (CoRR, 2016)

Feature extraction of gameplays for similarity calculation in gameplay recommendation. - Kazuki Mori; Suguru Ito; Tomohiro Harada; Ruck Thawonmas; Kyung-Joong Kim 001 (IWCIA, 2017)

Multimodal genetic programming by using tree structure similarity clustering. - Shubu Yoshida; Tomohiro Harada; Ruck Thawonmas (IWCIA, 2017)

AI for Game Spectators: Rise of PPG. - Ruck Thawonmas; Tomohiro Harada (AAAI Workshops, 2017)

Improving Accuracy of Real-Time Sleep Stage Estimation by Considering Personal Sleep Feature and Rapid Change of Sleep Behavior. - Tomohiro Harada; Takahiro Kawashima; Morito Morishima; Keiki Takadama (AAAI Spring Symposia, 2017)

Adaptive Motion Gaming AI for Health Promotion. - Pujana Paliyawan; Takahiro Kusano; Yuto Nakagawa; Tomohiro Harada; Ruck Thawonmas (AAAI Spring Symposia, 2017)

Sleep Stage Estimation Based on Appriximate Heartrate Calculated from Other Persons. - Yusuke Tajima; Tomohiro Harada; Keiki Takadama (AAAI Spring Symposia, 2017)

Performance comparison of parallel asynchronous multi-objective evolutionary algorithm with different asynchrony. - Tomohiro Harada; Keiki Takadama (CEC, 2017)

Procedural generation of angry birds fun levels using pattern-struct and preset-model. - Yuxuan Jiang 002; Tomohiro Harada; Ruck Thawonmas (CIG, 2017)

Intelligent assistant for providing instructions and recommending motions during full-body motion gaming. - Jorge Arturo Moran Bravo; Pujana Paliyawan; Tomohiro Harada; Ruck Thawonmas (GCCE, 2017)

Towards adaptive motion gaming AI with player's behavior modeling for health promotion. - Takahiro Kusano; Pujana Paliyawan; Tomohiro Harada; Ruck Thawonmas (GCCE, 2017)

A study of self-adaptive semi-asynchronous evolutionary algorithm on multi-objective optimization problem. - Tomohiro Harada; Keiki Takadama (GECCO (Companion), 2017)

Integrating surrogate evaluation model and asynchronous evolution in multi-objective evolutionary algorithm for expensive and different evaluation time. - Misaki Kaidan; Tomohiro Harada; Ruck Thawonmas (GECCO (Companion), 2017)

Segmentation Mask Refinement Using Image Transformations. - Tung Duc Nguyen; Ayumu Shinya; Tomohiro Harada; Ruck Thawonmas (IEEE Access, 2017)

Machine-Code Program Evolution by Genetic Programming Using Asynchronous Reference-Based Evaluation Through Single-Event Upset in On-Board Computer. - Tomohiro Harada; Keiki Takadama (J. Robotics Mechatronics, 2017)

A Personalized Method for Calorie Consumption Assessment. - Yunshi Liu; Pujana Paliyawan; Takahiro Kusano; Tomohiro Harada; Ruck Thawonmas (AAAI Spring Symposia, 2018)

Sleep Stage Re-Estimation Method According To Sleep Cycle Change. - Yusuke Tajima; Akinori Murata; Tomohiro Harada; Keiki Takadama (AAAI Spring Symposia, 2018)

Monte-Carlo Tree Search for Implementation of Dynamic Difficulty Adjustment Fighting Game AIs Having Believable Behaviors. - Makoto Ishihara; Suguru Ito; Ryota Ishii; Tomohiro Harada; Ruck Thawonmas (CIG, 2018)

Monte-Carlo Tree Search Implementation of Fighting Game AIs Having Personas. - Ryota Ishii; Suguru Ito; Makoto Ishihara; Tomohiro Harada; Ruck Thawonmas (CIG, 2018)

Applying Hybrid Reward Architecture to a Fighting Game AI. - Yoshina Takano; Wenwen Ouyang; Suguru Ito; Tomohiro Harada; Ruck Thawonmas (CIG, 2018)

An Analysis of Fighting Game AIs Having a Persona. - Ryota Ishii; Suguru Ito; Ruck Thawonmas; Tomohiro Harada (GCCE, 2018)

An Object Matrix Input Format for a Deep AI in Angry Birds and the Like. - Yuntian Ma; Enzhi Zhang; Koki Tsujino; Tomohiro Harada; Ruck Thawonmas (GCCE, 2018)

Utilizing Multiple Agents for Decision Making in a Fighting Game. - Yoshina Takano; Suguru Ito; Tomohiro Harada; Ruck Thawonmas (GCCE, 2018)

An Angry Birds-like Game System for Promoting Players' Emotion. - Jingdi Xu; Changeun Yang; Yuuki Okido; Pujana Paliyawan; Ruck Thawonmas; Tomohiro Harada (GCCE, 2018)

Blow Up Depression with In-Game TNTs. - Changeun Yang; Pujana Paliyawan; Tomohiro Harada; Ruck Thawonmas (GCCE, 2018)

Adaptive asynchrony in semi-asynchronous evolutionary algorithm based on performance prediction using search history. - Tomohiro Harada (GECCO, 2018)

Crowding distance based promising solution selection in surrogate assisted asynchronous multi-objective evolutionary algorithm. - Tomohiro Harada; Misaki Kaidan; Ruck Thawonmas (GECCO (Companion), 2018)

Evolutionary algorithm using surrogate assisted model for simultaneous design optimization benchmark problem of multiple car structures. - Hiro Ohtsuka; Misaki Kaidan; Tomohiro Harada; Ruck Thawonmas (GECCO (Companion), 2018)

Semi-autonomous Collision Avoidance Flight Using Two Dimensional Laser Range Finder with Mirrors for Bridge Inspection. - Satoko Abiko; Tomohiro Harada; Tadahiro Hasegawa; Shin'ichi Yuta; Naohiro Shimaji (ROBIO, 2018)

A Study on Multimodal Genetic Programming Introducing Program Simplification. - Kei Murano; Shubu Yoshida; Tomohiro Harada; Ruck Thawonmas (SCIS&ISIS, 2018)

TGIF!: Selecting the most healing TNT by optical flow. - Changeun Yang; Pujana Paliyawan; Ruck Thawonmas; Tomohiro Harada (AAAI Spring Symposium: Interpretable AI for Well-being, 2019)

An Angry Birds Level Generator with Rube Goldberg Machine Mechanisms. - Febri Abdullah; Pujana Paliyawan; Ruck Thawonmas; Tomohiro Harada; Fitra Abdurrachman Bachtiar (CoG, 2019)

A Fighting Game AI Using Highlight Cues for Generation of Entertaining Gameplay. - Ryota Ishii; Suguru Ito; Ruck Thawonmas; Tomohiro Harada (CoG, 2019)

Motion Gaming AI using Time Series Forecasting and Dynamic Difficulty Adjustment. - Takahiro Kusano; Yunshi Liu; Pujana Paliyawan; Ruck Thawonmas; Tomohiro Harada (CoG, 2019)

Towards an Angry-Birds-Like Game System for Promoting Mental Well-Being of Players using Art-Therapy-Embedded Procedural Content Generation. - Zhou Fang; Pujana Paliyawan; Ruck Thawonmas; Tomohiro Harada (GCCE, 2019)

An Analysis of Highlight-Oriented AI Using Fighting-Game Experience. - Ryota Ishii; Ruck Thawonmas; Tomohiro Harada (GCCE, 2019)

Enhance Physical and Mental Well-Being of Game Players in an Endless Running Game. - Sunee Sae-Lao; Pujana Paliyawan; Ruck Thawonmas; Tomohiro Harada (GCCE, 2019)

Player Dominance Adjustment: Promoting Self-Efficacy and Experience of Game Players by Adjusting Dominant Power. - Junjie Xu; Pujana Paliyawan; Ruck Thawonmas; Tomohiro Harada (GCCE, 2019)

Multimodal genetic programming using program similarity measurement and its application to wall-following problem. - Shubu Yoshida; Tomohiro Harada; Ruck Thawonmas (GECCO (Companion), 2019)

Improving Brain Memory through Gaming Using Hand Clenching and Spreading. - Yunshi Liu; Febri Abdullah; Pujana Paliyawan; Ruck Thawonmas; Tomohiro Harada (MIG, 2019)

Player Dominance Adjustment Motion Gaming AI for Health Promotion. - Junjie Xu; Pujana Paliyawan; Yiming Zhang; Ruck Thawonmas; Tomohiro Harada (MIG, 2019)

Promoting Emotional Well-Being with Angry-Birds-like Gameplay on Pixel Image Levels. - Jingdi Xu; Yuuki Okido; Sunee Sae-Lao; Pujana Paliyawan; Ruck Thawonmas; Tomohiro Harada (SeGAH, 2019)

Towards An Angry-Birds-like Game System for Promoting Mental Well-being of Players Using Art-Therapy-embedded PCG. - Zhou Fang; Pujana Paliyawan; Ruck Thawonmas; Tomohiro Harada (CoRR, 2019)

Proposal of Multimodal Program optimization Benchmark and Its Application to Multimodal Genetic Programming. - Tomohiro Harada; Kei Murano; Ruck Thawonmas (CEC, 2020)

Proposal of Surrogate Model for Genetic Programming Based on Program Structure Similarity. - Sohei Kino; Tomohiro Harada; Ruck Thawonmas (SICE, 2020)

Interleaving Generation Evolutionary Algorithm with Precedence Evaluation of Tentative Offspring. - Hayato Noguchi; Akari Sonoda; Tomohiro Harada; Ruck Thawonmas (SICE, 2020)

Analysis of Relation between Prediction Accuracy of Surrogate Model and Search Performance on Extreme Learning Machine Assisted MOEA/D. - Koki Tsujino; Tomohiro Harada; Ruck Thawonmas (SICE, 2020)

Search Progress Dependent Parent Selection for Avoiding Evaluation Time Bias in Asynchronous Parallel Multi-Objective Evolutionary Algorithms. - Tomohiro Harada (SSCI, 2020)

A Study on Efficient Asynchronous Parallel Multi-objective Evolutionary Algorithm with Waiting Time Limitation. - Tomohiro Harada (TPNC, 2020)

Analysis of semi-asynchronous multi-objective evolutionary algorithm with different asynchronies. - Tomohiro Harada; Keiki Takadama (Soft Comput., 2020)

Adaptation of Search Generations in Extreme Learning Assisted MOEA/D Based on Estimation Accuracy of Surrogate Model. - Koki Tsujino; Tomohiro Harada; Ruck Thawonmas (CEC, 2021)

Parallel differential evolution applied to interleaving generation with precedence evaluation of tentative solutions. - Hayato Noguchi; Tomohiro Harada; Ruck Thawonmas (GECCO, 2021)

Parallel Genetic Algorithms: A Useful Survey. - Tomohiro Harada; Enrique Alba 001 (ACM Comput. Surv., 2021)

Improving Data Sampling Efficiency of Sensitivity Analysis Based on Bilevel Multi-objective Evolutionary Algorithm. - Takuya Hakoishi; Tomohiro Harada; Yukiya Miura (SCIS/ISIS, 2022)

Differential Evolution Using Surrogate Model Based on Pairwise Ranking Estimation for Constrained Optimization Problems. - Hitomi Kano; Tomohiro Harada; Yukiya Miura (SCIS/ISIS, 2022)

A fresh approach to evaluate performance in distributed parallel genetic algorithms. - Tomohiro Harada; Enrique Alba 001; Gabriel Luque (Appl. Soft Comput., 2022)

Comparison of synchronous and asynchronous parallelization of extreme surrogate-assisted multi-objective evolutionary algorithm. - Tomohiro Harada; Misaki Kaidan; Ruck Thawonmas (Nat. Comput., 2022)

Hybrid Rocket Engine Design Using Pairwise Ranking Surrogate-assisted Differential Evolution. - Hitomi Kano; Tomohiro Harada; Yukiya Miura; Masahiro Kanazaki (GECCO Companion, 2023)

Emergence of Cooperative Automated Driving Control at Roundabouts Using Deep Reinforcement Learning. - Reo Nakaya; Tomohiro Harada; Yukiya Miura; Kiyohiko Hattori; Johei Matsuoka (SICE, 2023)

Investigating the influence of survival selection and fitness estimation method in genotype-based surrogate-assisted genetic programming. - Tomohiro Harada; Sohei Kino; Ruck Thawonmas (Artif. Life Robotics, 2023)

Behavior analysis of emergent rule discovery for cooperative automated driving using deep reinforcement learning. - Tomohiro Harada; Johei Matsuoka; Kiyohiko Hattori (Artif. Life Robotics, 2023)

Analysis of the Impact of Prediction Accuracy on Search Performance in Surrogate-assisted Evolutionary Algorithms. - Yuki Hanawa; Tomohiro Harada; Yukiya Miura (CEC, 2024)

Energy and Quality of Surrogate-Assisted Search Algorithms: a First Analysis. - Tomohiro Harada; Enrique Alba 001; Gabriel Luque (CEC, 2024)

Cooperative Autonomous Driving Control among Vehicles of Different Sizes Using Deep Reinforcement Learning. - Akito Takenaka; Tomohiro Harada; Yukiya Miura; Kiyohiko Hattori; Johei Matuoka (IJCNN, 2024)

Parallel cooperative multiobjective coevolutionary algorithm for constrained multiobjective optimization problems. - Tomohiro Harada (Appl. Soft Comput., 2024)

Automatic Route Design by Stepwise Subdivision of Virtual Walls - Reduces Route Length and Speeds Up Execution Time -. - Yuki Itoh; Junya Hoshino; Tenta Suzuki; Kenji Matsuda; Kaito Kumagae; Mao Tobisawa; Tomohiro Harada; Jyouhei Matsuoka; Toshinori Kagawa; Kiyohiko Hattori (J. Robotics Mechatronics, 2024)

Acquisition of Cooperative Control of Multiple Vehicles Through Reinforcement Learning Utilizing Vehicle-to-Vehicle Communication and Map Information. - Tenta Suzuki; Kenji Matsuda; Kaito Kumagae; Mao Tobisawa; Junya Hoshino; Yuki Itoh; Tomohiro Harada; Jyouhei Matsuoka; Toshinori Kagawa; Kiyohiko Hattori (J. Robotics Mechatronics, 2024)

Hierarchical Reward Model of Deep Reinforcement Learning for Enhancing Cooperative Behavior in Automated Driving. - Kenji Matsuda; Tenta Suzuki; Tomohiro Harada; Johei Matsuoka; Mao Tobisawa; Jyunya Hoshino; Yuuki Itoh; Kaito Kumagae; Toshinori Kagawa; Kiyohiko Hattori (J. Adv. Comput. Intell. Intell. Informatics, 2024)

Interchange flow control with dynamic obstacles optimized using genetic algorithms - a concept of virtual walls. - Junya Hoshino; Yuuki Itoh; Ryuma Saotome; Tomohiro Harada; Kenji Matsuda; Tenta Suzuki; Mao Tobisawa; Kaito Kumagae; Johei Matsuoka; Toshinori Kagawa; Kiyohiko Hattori (Artif. Life Robotics, 2024)

Impact of surrogate model accuracy on performance and model management strategy in surrogate-assisted evolutionary algorithms. - Yuki Hanawa; Tomohiro Harada; Yukiya Miura (Array, 2025)

Fast implementation of extreme learning machine-based directRanker for surrogate-assisted evolutionary algorithms. - Tomohiro Harada (Evol. Intell., 2025)

Reinforcement learning-based autonomous driving control for efficient road utilization in lane-less environments. - Mao Tobisawa; Kenji Matsuda; Tenta Suzuki; Tomohiro Harada; Junya Hoshino; Yuki Itoh; Kaito Kumagae; Johei Matsuoka; Kiyohiko Hattori (Artif. Life Robotics, 2025)

A frequency-based parent selection for reducing the effect of evaluation time bias in asynchronous parallel multi-objective evolutionary algorithms. - Tomohiro Harada (Nat. Comput., 2025)