Professor Hidehiko Okada

Area and Subject Taught User Interface
Research Theme(s) Computational Intelligence
Academic Degrees Doctor of Engineering, Osaka Prefecture University
Keywords for Research Field Genetic Algorithm, Neural Network, Fuzzy Theory
Office Phone Number Not Public
e-mail

Research Overview

The aim of this research is to develop methods for improving and extending evolutionary algorithms including genetic algorithm, applying evolutionary algorithms to learning of neural networks and fuzzy systems.

Notable Publications and Works in the Last Three Years

  1. H. Okada: Neuroevolution of Autoencoders by Genetic Algorithm, International Journal of Science and Engineering Investigations (IJSEI), 66517-21, Vol.6, Issue 65, pp.127-131 (2017.06)

  2. H. Okada: Evolution of Fuzzy Neural Networks Using an Evolution Strategy with Fuzzy Genotype Values, World Academy of Science, Engineering and Technology, Vol.9, No.4, pp.296-303 (2015.09)