The development of a novel adaptive genetic algorithm for the optimization of fuel cycle length
Annals of Nuclear Energy（2021）
摘要
•Novel genetic algorithms dedicated to improve in-core fuel management.•The solution improves core-loading pattern and fuel cycle performance for four test cases with different constraints.•Demonstration simulations for BEAVRS MIT PWR reactor.•Core simulator PARCS coupled with new GA based optimization tool.•Novel variance control method, tested and compared with standard methods.
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关键词
In-core management,Core loading pattern,Adaptive genetic algorithms,BEAVRS,Fuel cycle management,PARCS
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