Computational Intelligence aims the construction of algorithms to solve problems in the real world with mimicking nature beings such as neural networks, fuzzy systems and evolutionary computation. We are especially interested in the theoretical aspect of evolutionary computation and swarm intelligence. For example, Particle Swarm Optimization is well known as an optimization method based on swarm intelligence, we develop a more efficient model of particle swarm for multi-objective optimization problems, and we consider a search abilitiy of particle swarm to give insight for real world applications.
- 1988 R&D Department, Analytical Instrument Division, Shimadzu Corp.
- 1993 Assistant Professor, Faculty of Engineering, Tottori University
- 2002 Assistant Professor, Graduate School of Information Science and Technology, Osaka University
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