Harada Laboratory
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Harada Laboratory

Harada Laboratory at Department of Information Engineering / Graduate School of Science and Engineering, Saitama University, focuses on research related to computational intelligence, particularly optimization using evolutionary computation and applications of machine learning in autonomous driving. For more details, please visit the Research page.

At present, our laboratory mainly focuses on the following research topics:

  • Surrogate-assisted evolutionary computation that incorporates machine learning–based prediction
  • Acceleration of multi-objective evolutionary computation using parallel computing
  • Generation of benchmark problems by combining large language models with evolutionary computation
  • Energy-efficient evolutionary computation
  • Evolutionary computation for understanding the characteristics of optimization problems
  • Multi-objective multi-agent reinforcement learning

If you are interested in joining our laboratory for study or visitation, please contact us in advance. Please find the contact details on the Contact page.

Note
Our laboratory primarily focuses on research in evolutionary computation. We generally do not work on research topics that deal directly with machine learning itself (such as deep learning or image processing), although we may use machine learning as a tool when appropriate. Therefore, if you wish to pursue research specifically in areas such as deep learning or image processing, we recommend considering other laboratories.