Informatics
Research on algorithms for evolutionary computation and reinforcement learning.
Evolutionary computation is a black box optimization method that can handle a wide range of problem classes such as multi-objective optimization and optimization with simulation. It is used to design the top shape of the
Shinkansen and the wing shape of passenger aircraft.
Reinforcement learning is a machine learning method that learns the optimal action strategy and control rules based on rewards obtained through interaction with the environment. It is used for automatic acquisition of
action strategies and control laws for game players and robots.
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Artificial intelligence | Control | Optimization | Modeling | Systems engineering | Network | Scheduling | Quality control, Reliability | Monetary technology | Management engineering | Data science | Sensor | Medical, Biotechnology | Simulation | |
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