Journals

  1. 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)

  2. 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)

  3. 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)


Proceedings

  1. 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)

  2. 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)

  3. 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)


Review

  1. 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)

  2. 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)

  3. 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)


Awards

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

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

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

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

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

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

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

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

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