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- W3140168595 abstract "The code independent genetic algorithm reactor optimization (CIGARO) system has been developed to optimize nuclear reactor loading patterns. It uses genetic algorithms (GAs) and a code-independent interface, so any reactor physics code (e.g., CASMO-3/SIMULATE-3) can be used to evaluate the loading patterns. The system is compared to other GA-based loading pattern optimizers. Tests were carried out to maximize the beginning of cycle k{sub eff} for a pressurized water reactor core loading with a penalty function to limit power peaking. The CIGARO system performed well, increasing the k{sub eff} after lowering the peak power. Tests of a prototype parallel evaluation method showed the potential for a significant speedup." @default.
- W3140168595 created "2021-04-13" @default.
- W3140168595 date "1995-01-01" @default.
- W3140168595 modified "2023-09-24" @default.
- W3140168595 title "Nuclear Fuel Management Optimization Using Genetic Algorithms" @default.
- W3140168595 doi "https://doi.org/10.13182/nt95-2" @default.
- W3140168595 hasPublicationYear "1995" @default.
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