If you made any changes in Pure these will be visible here soon.

Fingerprint Dive into the research topics where Ryohei Funaki is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Evolutionary algorithms Engineering & Materials Science
Inverse Optimization Mathematics
Trees (mathematics) Engineering & Materials Science
Combinatorial optimization Engineering & Materials Science
Distributed power generation Engineering & Materials Science
Incentives Mathematics
Electric power distribution Engineering & Materials Science
Genetic algorithms Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2011 2018

  • 7 Citations
  • 2 h-Index
  • 5 Conference contribution
  • 2 Article
  • 1 Conference article

Estimation of Influence of Each Variable on User's Evaluation in Interactive Evolutionary Computation

Funaki, R., Sugimoto, K. & Murata, J., Oct 31 2018, 2018 9th International Conference on Awareness Science and Technology, iCAST 2018. Institute of Electrical and Electronics Engineers Inc., p. 167-174 8 p. 8517220. (2018 9th International Conference on Awareness Science and Technology, iCAST 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Evolutionary algorithms
evaluation
Matched-Pair Analysis
Creativity
Evolutionary computation

Load Shedding Optimization Considering Consumer Appliance Prioritization Using Genetic Algorithm for Real-time Application

Jabian, M. E., Funaki, R. & Murata, J., Jan 1 2018, In : IFAC-PapersOnLine. 51, 28, p. 486-491 6 p.

Research output: Contribution to journalArticle

Genetic algorithms
Controllers
Electric power utilization
Monitoring
Communication
2 Citations (Scopus)

Design of incentive-based demand response programs using inverse optimization

Murakami, M., Funaki, R. & Murata, J., Nov 27 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-January. p. 2754-2759 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Inverse Optimization
Incentives
Reinforcement learning
Electric power utilization
Dynamical Model

Determination of Pinning Parameters in Flux Creep-Flow Model for E-J characteristics of High Temperature Superconductors by using Differential Evolution

Otabe, E. S., Taguchi, T., Tsuruda, Y. & Funaki, R., Jul 26 2017, In : Journal of Physics: Conference Series. 871, 1, 012046.

Research output: Contribution to journalConference article

high temperature superconductors
mesh
current density
intervals
temperature dependence