Quantum evolutionary algorithm based power optimization control strategy for China initiative accelerator driven subcritical system

Research article (Annals of Nuclear Energy, 2021) · cited 10× · AI/ML
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Quantum evolutionary algorithm based power optimization control strategy for China initiative accelerator driven subcritical system

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Quantum evolutionary algorithm based power optimization control strategy for China initiative accelerator driven subcritical system is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Quantum evolutionary algorithm based power optimization control strategy for China initiative accelerator driven subcritical system. Retrieved May 24, 2026, from https://4ort.xyz/entity/quantum-evolutionary-algorithm-based-power-optimization-control-strategy-for-china-initiative-accelerator-driven-subcrit
MLA “Quantum evolutionary algorithm based power optimization control strategy for China initiative accelerator driven subcritical system.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/quantum-evolutionary-algorithm-based-power-optimization-control-strategy-for-china-initiative-accelerator-driven-subcrit.
BibTeX @misc{4ortxyz_quantum-evolutionary-algorithm-based-power-optimization-control-strategy-for-china-initiative-accelerator-driven-subcrit_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quantum evolutionary algorithm based power optimization control strategy for China initiative accelerator driven subcritical system}}, year = {2026}, url = {https://4ort.xyz/entity/quantum-evolutionary-algorithm-based-power-optimization-control-strategy-for-china-initiative-accelerator-driven-subcrit}, note = {Accessed: 2026-05-24}}
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