Prediction of and genetic algorithm optimization on data induced uncertainty reduction with the use of an integral experiment-Reference-Cited by-同舟云学术

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Prediction of and genetic algorithm optimization on data induced uncertainty reduction with the use of an integral experiment

Published:2024-12 Issue: Volume:429 Page:113570
ISSN:0029-5493
Container-title:Nuclear Engineering and Design
language:en
Short-container-title:Nuclear Engineering and Design

Author:

DePillis Alexander Amedeo,Bogetic Sandra,Sobes Vladimir^ORCID

Funder

Nuclear Science and Security Consortium

National Nuclear Security Administration

Publisher

Elsevier BV

Reference29 articles.

1. Multi-grid genetic algorithms for space shield design;Asbury,2009

2. Bao, Pham Ngo Gia, Quan, Tram Loi, Tho, Quan Thanh, Garg, Akhil, (2018), 2024. NSGA-II. Python. https://github.com/baopng/NSGA-II.

3. Bernadette, Brezinski, 2023. FNSBoxOut.JPG.

4. Gnowee: a hybrid metaheuristic optimization algorithm for constrained, black box, combinatorial mixed-integer design;Bevins;Nucl. Technol.,2019

5. Ab Initio Path to Heavy Nuclei;Binder;Phys. Lett. B,2014

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