Optimal design of buffer material in the geological disposal of radioactive wastes using the satisficing trade-off method and a self-organizing map

Takashi Okamoto, Yuya Hanaoka, Eitaro Aiyoshi, Yoko Kobayashi

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

In this paper, we consider the use of a multi-objective optimization method in order to obtain a preferred solution for the buffer material optimal design problem in the high-level geological disposal of radioactive waste. The buffer material optimal design problem is formulated as a constrained multi-objective optimization problem. Its Pareto optimal solutions are distributed evenly over the entire 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 broadly. In the preferred solution search method, a technique for visualization of a Pareto optimal solution set using a self-organizing map is introduced into the satisficing trade-off method, which is an interactive method for obtaining 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.

Original languageEnglish
Pages (from-to)17-32
Number of pages16
JournalElectrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi)
Volume187
Issue number2
DOIs
Publication statusPublished - 2014 Apr
Externally publishedYes

Keywords

  • geological disposal
  • multi-objective optimization
  • radioactive waste
  • satisficing trade-off method
  • self-organizing map

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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