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 language | English |
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Pages (from-to) | 17-32 |
Number of pages | 16 |
Journal | Electrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi) |
Volume | 187 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2014 Apr |
Externally published | Yes |
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