Multi-objective optimization of PWR core design using NSGA-II in RAVEN’s optimization framework
Conference
·
OSTI ID:2440147
- Idaho National Laboratory
- North Carolina State University
Designing an PWR loading pattern is a combinatorial problem challenging to solve by brute force or traditional methods due to the sheer amount of possible combination, and constraints. Nature-inspired algorithms, such as the genetic algorithm, have demonstrated the potential to tackle this problem. The goal of this work was to improve and demonstrate the capabilities for constrained, multi-objective optimization (MOO) of loading patterns using NSGA-II in RAVEN’s optimization framework.
- Research Organization:
- Idaho National Laboratory (INL), Idaho Falls, ID (United States)
- Sponsoring Organization:
- 58
- DOE Contract Number:
- AC07-05ID14517
- OSTI ID:
- 2440147
- Report Number(s):
- INL/EXP-24-79750-Rev000
- Country of Publication:
- United States
- Language:
- English
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