Publication

Journals

Takaharu Shoji, Masaki Kuriyama and Masaya Nakata, Piecewise Symbolic Regression by Evolutionary Rule-based Learning with Genetic Programming, IPSJ Transactions on Mathematical Modeling and its Applications, 2023. (Bibtex)

@article{shoji2023piecewise, author={Takaharu Shoji, Masaki Kuriyama and Masaya Nakata}, journal={IPSJ Transactions on Mathematical Modeling and its Applications}, title={Piecewise Symbolic Regression by Evolutionary Rule-based Learning with Genetic Programming}, year={2023}, volume={}, number={}, pages={}, doi={} }

Yuma Horaguchi, Takashi Ikeguchi and Masaya Nakata, Classifier-based Pre-screening Mechanism for Surrogate-assisted Multi-Objective Evolutionary Algorithms, IPSJ Transactions on Mathematical Modeling and its Applications, 2023. (Bibtex)

@article{horaguchi2023classifier, author={Yuma Horaguchi, Takashi Ikeguchi and Masaya Nakata}, journal={IPSJ Transactions on Mathematical Modeling and its Applications}, title={Classifier-based Pre-screening Mechanism for Surrogate-assisted Multi-Objective Evolutionary Algorithms}, year={2023}, volume={}, number={}, pages={}, doi={} }

Hiruta, Yusuke and Nishihara, Kei and Koguma, Yuji and Fujii, Masakazu and Nakata, Masaya, Automatic Construction of Loading Algorithms With Interactive Genetic Programming, IEEE Access, Vol.10, pp.125167-125180, 2022. (Bibtex)

@article{hiruta2022automatic, author={Hiruta, Yusuke and Nishihara, Kei and Koguma, Yuji and Fujii, Masakazu and Nakata, Masaya}, journal={IEEE Access}, title={Automatic Construction of Loading Algorithms With Interactive Genetic Programming}, year={2022}, volume={10}, number={}, pages={125167-125180}, doi={10.1109/ACCESS.2022.3225543} }

Sugawara, Rui and Nakata, Masaya, Theoretical Analysis of Accuracy-based Fitness on Learning Classifier Systems, IEEE Access, Vol.10, pp.64862-64872, IEEE, 2022. (Bibtex)

Sonoda, Takumi and Nakata, Masaya, Multiple Classifiers-Assisted Evolutionary Algorithm Based on Decomposition for High-Dimensional Multiobjective Problems, IEEE Transactions on Evolutionary Computation, Vol.26, No.6, pp.1581 - 1595, IEEE, 2022. (Bibtex)

Yushi Miyahara, Masaya Nakata, Hybrid Surrogate-Assisted Particle Swarm Optimization Based on Approximation and Classification Models, Transaction of the Japanese Society for Evolutionary Computation, Vol.12, No.3, pp.73-87, 2021. (Bibtex)

Shiratori, Ryo and Nakata, Masaya and Hayashi, Kosuke and Baba, Toshihiko, Particle swarm optimization of silicon photonic crystal waveguide transition, Optics Letters, Vol.46, No.8, pp.1904--1907, Optical Society of America, Apr 2021. (Bibtex)

Nishihara, Kei and Nakata, Masaya, Performance Improvement with Prior-validation Framework for Algorithmic Configuration on Self-adaptive Differential Evolution, Transactions on Mathematical Modeling and its Applications, Vol.14, No.3, pp.51--67, IPSJ (in Japanese), Aug 2021. (Bibtex)

Hiruta, Yusuke and Nishihara, Kei and Koguma, Yuji and Fujii, Masakazu and Nakata, Masaya, Automated Construction of Transferable Loading Algorithm with Cartesian Genetic Programming, Transactions on Mathematical Modeling and its Applications, Vol.14, No.3, pp.11--26, IPSJ (in Japanese), Aug 2021. (Bibtex)

Nakata, Masaya and Browne, Will N, Learning Optimality Theory for Accuracy-based Learning Classifier System, IEEE Transactions on Evolutionary Computation, Vol.25, No.1, pp.61--74, IEEE, Feb 2021. (Bibtex)

Uwano, Fumito and Tatebe, Naoki and Tajima, Yusuke and Nakata, Masaya and Kovacs, Tim and Takadama, Keiki, Multi-Agent Cooperation Based on Reinforcement Learning with Internal Reward in Maze Problem, Journal of Control, Measurement and System Integration, Vol.11, No.4, pp.321--330, June 2018. (Bibtex)

Nakata, Masaya and Takadama, Keiki, An Empirical Analysis of Action Map in Learning Classifier Systems, Journal of Control, Measurement and System Integration, Vol.11, No.3, pp.239--248, May 2018. (Bibtex)

Nakata, Masaya and Hamagami, Tomoki, Revisit of Rule-Deletion Strategy for XCSAM Classifier System on Classification, Transaction of Institute of System, Control and Engineering, Vol.30, No.7, pp.273--285, July 2017. (Bibtex)

Nakata, Masaya and Hamagami, Tomoki, An Analysis of Rule Deletion Scheme in XCS on Reinforcement Learning Problem, Journal of Advanced Computational Intelligent Information, Vol.21, No.5, pp.876--884, September 2017. (Bibtex)

Zhang, Chaili and Tatsumi, Takato and Nakata, Masaya and Takadama, Keiki, Approach to Clustering with Variance-Based XCS, Journal of Advanced Computational Intelligent Information, Vol.21, No.5, pp.885--893, September 2017. (Bibtex)

Chiba, Kazuhica and Nakata, Masaya, From Extraction to Generation of Design Information - Paradigm Shift in Data Mining via Evolutionary Learning Classifier System, Procedia Computer Science, Vol.108, pp.1662--1671, Elsevier, June 2017. (Bibtex)

Tatsumi, Takato and Komine, Takahiro and Nakata, Masaya and Sato, Hiroyuki and Takadama, Keiki, A Learning Classifier System that Adapts Accuracy Criterion, Transaction of the Japanese Society for Evolutionary Computation, Vol.6, No.2, pp.90--103, in Japanese, April 2016. (Bibtex)

Nakata, Masaya and Pier Luca Lanzi and Takadama, Keiki, Rule Reduction by Selection Strategy in XCS with Adaptive Action Map, Evolutionary Intelligence, Vol.8, No.2--3, pp.71--87, Springer, September 2015. (Bibtex)

Nakata, Masaya and Kovacs, Tim and Takadama, Keiki, XCS-SL: A Rule-based Genetic Learning System for Sequence Labelling, Evolutionary Intelligence, Vol.8, No.2--3, pp.133--148, Springer, September 2015. (Bibtex)

Tajima, Yusuke and Nakata, Masaya and Matsushima, Hiroyasu and Ichikawa, Yoshihiro and Sato, Hiroyuki and Hattori, Kiyohiko and Takadama, Keiki, Evolutionary Algorithm for Uncertain Evaluation Function, New Mathematics and Natural Computation, Vol.11, No.2, pp.201--215, February 2015. (Bibtex)

Nakata, Masaya and Pier Luca Lanzi and Tajima, Yusuke and Takadama, Keiki, Rule Reduction in Learning Classifier System Using Compact Genetic Algorithm, IPSJ Transactions on Mathematical Modeling and its Applications, Vol.7, No.2, pp.1--16, in Japanese, November 2014. (Bibtex)

Nakata, Masaya and Harada, Tomohiro and Sato, Keiji and Matsushima, Hiroyasu and Takadama, Keiki, Performance Improvement by Identification-based XCS Using Predicted Reward, Transactions of the Society of Instrument and Control Engineers, Vol.48, No.11, pp.713--722, in Japanese, November 2012. (Bibtex)

Nakata, Masaya and Harada, Tomohiro and Sato, Keiji and Matsushima, Hiroyasu and Takadama, Keiki, Promoting Generalization in Identification Based Learning Classifier System, Transactions of the Society of Instrument and Control Engineers, Vol.47, No.11, pp.581--590, in Japanese, November 2011. (Bibtex)

Yuma Horaguchi, Kei Nishihara, Masaya Nakata, Impact of Approximating Scalarization Functions on High-dimensional Multiobjective Optimization: A Fast and Scalable Approach, TechRxiv, IEEE, December 2022. (Bibtex)

@article{horaguchi2022impact, title={Impact of Approximating Scalarization Functions on High-dimensional Multiobjective Optimization: A Fast and Scalable Approach}, author={Yuma Horaguchi, Kei Nishihara, Masaya Nakata}, journal={TechRxiv}, volume={}, number={}, pages={}, month={December}, year={2022}, publisher={IEEE}, doi={} }

Takumi Sonoda, Masaya Nakata, Multiple Classifiers-Assisted Evolutionary Algorithm Based on Decomposition for High-Dimensional Multi-Objective Problems, TechRxiv, IEEE, July 2021. (Bibtex)

@article{sonoda2021multi, title={Multiple Classifiers-Assisted Evolutionary Algorithm Based on Decomposition for High-Dimensional Multi-Objective Problems}, author={Takumi Sonoda, Masaya Nakata}, journal={TechRxiv}, volume={}, number={}, pages={}, month={July}, year={2021}, publisher={IEEE}, doi={} }

Proceedings

Kei Nishihara, Masaya Nakata, Surrogate-assisted Differential Evolution with Adaptation of Training Data Selection Criterion, IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2022), pp.1675--1682, IEEE, Dec 2022. (Bibtex)

@inproceedings{nishihara2022surrogate, title={Surrogate-assisted Differential Evolution with Adaptation of Training Data Selection Criterion}, author={Kei Nishihara, Masaya Nakata}, booktitle={IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2022)}, pages={1675--1682}, month={Dec} year={2022}, organization={IEEE}, doi={10.1109/SSCI51031.2022.10022105} }
Koki Hamasaki, Masaya Nakata, Minimum Rule-Repair Algorithm for Supervised Learning Classifier Systems on Real-valued Classification Tasks, Proceedings of META’2021 8 th International Conference on Metaheuristics and Nature Inspired computing, pp.111--120, META, Oct 2021. (Bibtex)

@inproceedings{hamasaki2021minimum, title={Minimum Rule-Repair Algorithm for Supervised Learning Classifier Systems on Real-valued Classification Tasks}, author={Koki Hamasaki, Masaya Nakata}, booktitle={Proceedings of META’2021 8 th International Conference on Metaheuristics and Nature Inspired computing}, pages={111--120}, month={Oct} year={2021}, organization={META}, doi={} }
Horiuchi Motoki and Nakata Masaya, Extended Learning Optimality Theory for the XCS classifier system on Multiple Reward Scheme, IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021), IEEE, 2021. (Bibtex)

@inproceedings{horiuchi2021Extended, title={Extended Learning Optimality Theory for the XCS classifier system on Multiple Reward Scheme}, author={Horiuchi Motoki and Nakata Masaya}, booktitle={IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021)}, pages={}, year={2021}, organization={IEEE}, doi={} }

Nakamura, Yoshiki and Horiuchi, Motoki and Nakata, Masaya, Convergence Analysis of Rule-Generality on the XCS Classifier System, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), pp.332--339, 2021. (Bibtex)

Nishihara, Kei and Nakata, Masaya, Comparison of Adaptive Differential Evolution Algorithms on the MOEA/D-DE Framework, IEEE Congress on Evolutionary Computation (CEC), pp.161--168, IEEE, 2021. (Bibtex)

Sonoda, Takumi and Nakata, Masaya, MOEA/D-S3: MOEA/D using SVM-based Surrogates adjusted to Subproblems for Many objective optimization, IEEE Congress on Evolutionary Computation (CEC), pp.E-24155, (8), IEEE, 2020. (Bibtex)

Nishihara, Kei and Nakata, Masaya, Competitive-Adaptive Algorithm-Tuning of Metaheuristics inspired by the Equilibrium Theory: A Case Study, IEEE Congress on Evolutionary Computation (CEC), pp.E-24156, (8), IEEE, 2020. (Bibtex)

Horiuchi, Motoki and Nakata, Masaya, Self-adaptation of XCS learning parameters based on Learning theory, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), pp.342--349, 2020. (Bibtex)

Nakata, Masaya and Browne, Will N, How XCS Can Prevent Misdistinguishing Rule Accuracy: A Preliminary Study, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) Companion, pp.183--184, July 2019. (Bibtex)

Takadama, Keiki and Yamazaki, Daichi and Nakata, Masaya and Sato, Hiroyuki, Complex-Valued-based Learning Classifier System for POMDP Environments, IEEE Congress on Evolutionary Computation (CEC), pp.1852-1859, June 2019. (Bibtex)

Nakata, Masaya and Browne, Will and Hamagami, Tomoki, Theoretical adaptation of multiple rule-generation in XCS, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), pp.482--489, ACM, July 2018. (Bibtex)

Chiba, Kazuhisa and Umeda, Yuhei and Hamada, Naoki and Watanabe, Shinya and Nakata, Masaya and Yasue, Kanako and Suzuki, Koji and Atobe, Takashi and Kuchiishi, Shigeru and Nakatakita, Kazuyuki and Ito, Ken, Determination of Temporal and Spatial Origination of Transonic Buffet via Unsteady Data Mining, Proceedings of AIAA Aerospace Sciences Meeting, 2018-0036, AIAA, January 2018. (Bibtex)

Sasaki, Hayato and Nakata, Masaya and Hamatsu, Fumiya and Hamagami, Tomoki, Effect of parameter sharing for multimodal deep autoencoders, Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, pp.1966--1971, IEEE, October 2017. (Bibtex)

Chiba, Kazuhisa and Watanabe, Shinya and Nakata, Masaya and Umeda, Yuhei and Hamada, Naoki and Yasue, Kanako and Suzuki, Koji and Atobe, Takashi and Kuchiishi, Shigeru and Nakatakita, Kazuyuki and Ito, Ken, An Attempt for Detecting Transonic Buffet Signature via Unsteady-Data Mining, Proceedings of the International Conference on Data Mining (DMIN'17), pp.28--33, CSREA, July 2017. (Bibtex)

Nakata, Masaya and Browne, Will N and Hamagami, Tomoki and Takadama, Keiki, Theoretical XCS parameter settings of learning accurate classifiers, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), pp.473--480, ACM, July 2017. (Bibtex)

Nakata, Masaya and Chiba, Kazuhisa, Design Strategy Generation for a Sounding Hybrid Rocket via Evolutionary Rule-Based Data Mining System, Proceedings of Intelligent and Evolutionary Systems, pp.305--318, Springer, November 2016. (Bibtex)

Zhang, Caili and Tatsumi, Takato and Nakata, Masaya and Takadama, Keiki and Sato, Hiroyuki and Kovacs, Tim, Extracting Different Abstracted Level Rule with Variance-Based LCS, Proceedings of Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems, pp.160--165, IEEE, August 2016. (Bibtex)

Tatsumi, Takato and Komine, Takahiro and Nakata, Masaya and Sato, Hiroyuki and Kovacs, Tim and Takadama, Keiki, Variance-based Learning Classifier System without Convergence of Reward Estimation, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), pp.67--68, ACM, July 2016. (Bibtex)

Umenai, Yuta and Uwano, Fumito and Tajima, Yusuke and Nakata, Masaya and Sato, Hiroyuki and Takadama, Keiki, A Modified Cuckoo Search Algorithm for Dynamic Optimization Problems, Proceedings of IEEE Congress on Evolutionary Computation (CEC), pp.1754--1764, IEEE, July 2016. (Bibtex)

Kovacs, Tim and Rawles, Simon and Bull, Larry and Nakata, Masaya and Takadama, Keiki, XCS-DH: Minimal Default Hierarchies in XCS, Proceedings of IEEE Congress on Evolutionary Computation (CEC), pp.4747--4754, IEEE, July 2016. (Bibtex)

Matsumoto, Kazuma and Saito, Rei and Tajima, Yusuke and Nakata, Masaya and Sato, Hiroyuki and Kovacs, Tim and Takadama, Keiki, Learning Classifier System with Deep Auto-encoder, Proceedings of IEEE Congress on Evolutionary Computation (CEC), pp.4739--4746, IEEE, July 2016. (Bibtex)

Saito, Rei and Nakata, Masaya and Sato, Hiroyuki and Kovacs, Tim and Takadama, Keiki, Preventing incorrect opinion sharing with weighted relationship among agents, Proceedings of International Conference on Human Interface and the Management of Information, pp.50--62, Springer, July 2016. (Bibtex)

Uwano, Fumito and Tatebe, Naoki and Nakata, Masaya and Takadama, Keiki and Kovacs, Tim, Reinforcement Learning with Internal Reward for Multi-Agent Cooperation: A Theoretical Approach, Proceedings of 9th EAI International Conference on Bio-inspired Information and Communications Technologies, pp.332--339, EAI, May 2016. (Bibtex)

Murata, Akinori and Nakata, Masaya and Sato, Hiroyuki and Kovacs, Tim and Takadama, Keiki, Optimization of Aircraft Landing Route and Order: An approach of Hierarchical Evolutionary Computation, Proceedings of 9th EAI International Conference on Bio-inspired Information and Communications Technologies, pp.340--347, EAI, May 2016. (Bibtex)

Nakata, Masaya and Pier Luca Lanzi and Kovacs, Tim and Browne, Will and Takadama, Keiki, How Should Learning Classifier Systems Cover A State-Action Space?, Proceedings of IEEE Congress on Evolutionary Computation (CEC), pp.3012--3019, IEEE, May 2015. (Bibtex)

Takadama, Keiki and Nakata, Masaya, Extracting Both Generalized and Specialized Knowledge by XCS using Attribute Tracking and Feedback, Proceedings of IEEE Congress on Evolutionary Computation (CEC), pp.3034--3041, IEEE, May 2015. (Bibtex)

Sato, Minato and Usui, Kotaro and Nakata, Masaya and Takadama, Keiki, Detecting Shoplifting From Customer Behavior Data by Extended XCS-SL: Towards Feature Extraction on Class-Imbalanced Sequence Data, Proceedings of IEEE Congress on Evolutionary Computation (CEC), pp.2981--2988, IEEE, May 2015. (Bibtex)

Nakata, Masaya and Kovacs, Tim and Takadama, Keiki, Messy Coding in the XCS Classifier System for Sequence Labelling, Proceedings of International Conference on Parallel Problem Solving from Nature, pp.191--200, Springer, September 2014. (Bibtex)

Nakata, Masaya and Kovacs, Tim and Takadama, Keiki, A Modified XCS Classifier System for Sequence Labelling, Proceedings of Genetic and Evolutionary Computation Conference (GECCO), pp.565--572, ACM, July 2014. (Bibtex)

Nakata, Masaya and Pier Luca Lanzi and Kovacs, Tim and Takadama, Keiki, Complete action map or Best action map in Accuracy-based Reinforcement Learning Classifier Systems, Proceedings of Genetic and Evolutionary Computation Conference (CEC), pp.557--564, ACM, July 2014. (Bibtex)

Usui, Kotaro and Nakata, Masaya and Takadama, Keiki, Reusable knowledge by linkage-classifier in Accuracy-based Learning Classifier System, Proceedings of Sixth world congress on Nature and biologically inspired computing, pp.312--317, IEEE, July 2014. (Bibtex)

Komine, Takahiro and Nakata, Masaya and Takadama, Keiki, Archives-holding XCS Classifier System: A preliminary study, Proceedings of Sixth world congress on Nature and biologically inspired computing, pp.53--58, IEEE, July 2014. (Bibtex)

Tajima, Yusuke and Nakata, Masaya and Takadama, Keiki, Personalized real-time sleep stage remote monitoring system, Proceedings of 8th International Symposium on Medical Information and Communication Technology, pp.1--5, IEEE, April 2014. (Bibtex)

Tajima, Yusuke and Nakata, Masaya and Harada, Tomohiro and Sato, Keiji and Takadama, Keiki, Sleep stage estimation using synthesized data of heart rate and body movement, Proceedings of AAAI Spring Symposium, pp.63--68, AAAI, March 2014. (Bibtex)

Nakata, Masaya and Pier Luca Lanzi and Takadama, Keiki, Selection Strategy for XCS with Adaptive Action Mapping, Proceedings of Genetic and Evolutionary Computation Conference (GECCO), pp.1085--1092, ACM, July 2013. (Bibtex)

Nakata, Masaya and Pier Luca Lanzi and Takadama, Keiki, Simple Compact Genetic Algorithm for XCS, Proceedings of IEEE Congress on Evolutionary Computation (CEC), pp.1718--1723, IEEE, June 2013. (Bibtex)

Nakata, Masaya and Pier Luca Lanzi and Takadama, Keiki, XCS with adaptive action mapping, Proceedings of 9th International Conference on Simulated Evolution and Learning, pp.138--147, Springer, December 2012. (Bibtex)

Nakata, Masaya and Pier Luca Lanzi and Takadama, Keiki, Enhancing Learning Capabilities by XCS with Best Action Mapping, Proceedings of International Conference on Parallel Problem Solving from Nature, pp.256--265, Springer, September 2012. (Bibtex)

Nakata, Masaya and Sato, Fumiaki and Takadama, Keiki, Towards Generalization by Identification-based XCS in Multi-steps Problem, Third world congress on Nature and biologically inspired computing, pp.389--394, IEEE, October 2011. (Bibtex)

Masaya Nakata, Current Direction on Evolutionary Rule-learning, The Journal of The Institute of Electrical Engineers of Japan, Vol.140, No.12, pp.786-789, 2020. (Bibtex)

@article{nakata2020current, title={Current Direction on Evolutionary Rule-learning}, author={Masaya Nakata}, journal={The Journal of The Institute of Electrical Engineers of Japan}, volume={140}, number={12}, pages={786-789}, year={2020}, doi={10.1541/ieejjournal.140.786} }

Masaya Nakata, Data Mining with Evolutionary Rule-Based Learning, Journal of The Society of Instrument and Control Engineers, Vol.58, No.9, pp.684-688, The Society of Instrument and Control Engineers, in Japan, September 2019. (Bibtex)

@article{nakata_erml2019, title={Data Mining with Evolutionary Rule-Based Learning}, author={Masaya Nakata}, journal={Journal of The Society of Instrument and Control Engineers}, volume={58}, number={9}, pages={684-688}, month={September}, year={2019}, publisher={The Society of Instrument and Control Engineers, in Japan}, doi={10.11499/sicejl.58.684} }

Masaya Nakata and Keiki Takadama, Evolutionary Rule-based Machine Learning : Evolving Human-Readable Knowledge, SYSTEMS, CONTROL AND INFORMATION, Vol.60, No.7, pp.581--590, Institute of Systems, Control and Information Engineers, in Japan, July 2016. (Bibtex)

@article{nakata2016interpre, title={Evolutionary Rule-based Machine Learning : Evolving Human-Readable Knowledge}, author={Masaya Nakata and Keiki Takadama}, journal={SYSTEMS, CONTROL AND INFORMATION}, volume={60}, number={7}, pages={581--590}, month={July}, year={2016}, publisher={Institute of Systems, Control and Information Engineers, in Japan}, doi={10.11509/isciesci.60.7_278} }

Awards

Kei Nishihara, Young Researcher Award, IEEE CIS Japan Chapter, IEEE, December 2022.

Kei Nishihara, Presentation Award, The 16th Symposium of The Japanese Society for Evolutionary Computation, The Japanese Society for Evolutionary Computation, 12月 2022.

Rui Sugawara, Takaya Miura, Masaya Nakata, Best Paper Award, Symposium on Fuzzy, Artificial Intelligence, Neural Networks and Computational Intelligence (FAN2022), FAN2022 Committee, September 2022.

Takashi Ikeguchi, Mako Isoda, Takumi Sonoda, Masaya Nakata, Excellent Paper Award, Symposium on Fuzzy, Artificial Intelligence, Neural Networks and Computational Intelligence (FAN2022), FAN2022 Committee, September 2022.

Kei Nishihara, Masaya Nakata, Excellent Paper Award, Symposium on Fuzzy, Artificial Intelligence, Neural Networks and Computational Intelligence (FAN2021), FAN2021 Committee, September 2021.

Takumi Sonoda, Presentation award, Japanese Symposium on Evolutionary Computation 2020, The Japanese Society for Evolutionary Computation, December 2020.

Kei Nishihara, Academic Encouragement Award on Electrical Engineers, The Institute of Electrical Engineers of Japan, March 2020.

Taichi Yoshikawa, Student Encouragement Award of IPSJ National Convention, The 82nd IPSJ National Convention, Information Processing Society of Japan, March 2020.

Takumi Sonoda, Best poster award, Japanese Symposium on Evolutionary Computation 2019, The Japanese Society for Evolutionary Computation, December 2019.

Masaya Nakata, Encouragement award, The Institute of Systems, Control and Information Engineers, May 2014.

Masaya Nakata, Young Researcher Award, IEEE CIS Japan Chapter, IEEE, December 2012.

Masaya Nakata, Pier Luca Lanzi, Keiki Takadama, Best presentation award, Japanese Symposium on Evolutionary Computation 2012, The Japanese Society for Evolutionary Computation, December 2012.

Masaya Nakata, Best poster award, Japanese Symposium on Evolutionary Computation 2010, The Japanese Society for Evolutionary Computation, December 2010.

Journals

Preprints

Proceedings

Review

Awards