A buffer material optimal design in the radioactive wastes geological disposal using the satisficing trade-off method and the self-organizing map

Takashi Okamoto, Yuya Hanaoka, Eitaro Aiyoshi, Yoko Kobayashi

研究成果: Article


In this paper, we consider a multi-objective optimization method in order to obtain a preferred solution for the buffer material optimal design problem in the high-level radioactive wastes geological disposal. The buffer material optimal design problem is formulated as a constrained multi-objective optimization problem. Its Pareto optimal solutions are distributed evenly on whole bounds of the feasible region. Hence, we develop a search method to find a preferred solution easily for a decision maker from the Pareto optimal solutions which are distributed evenly and vastly. In the preferred solution search method, the visualization technique of a Pareto optimal solution set using the self-organizing map is introduced into the satisficing trade-off method which is the interactive method to obtain a Pareto optimal solution that satisfies a decision maker. We confirm the effectiveness of the preferred solution search method in the buffer material optimal design problem.

ジャーナルIEEJ Transactions on Electronics, Information and Systems
出版物ステータスPublished - 2012


ASJC Scopus subject areas

  • Electrical and Electronic Engineering