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Advances in quantum genetic algorithms
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DOI：10.1016/j.cosrev.2026.100989.png)
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Abstract
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• Quantum Genetic Algorithms (QGA) have reached the age of broad applications with Reduced QGA as the leading version. • Grover’s search in the selection step is the main source of speedup and quantum advantage. • The Thomson problem and the eigenvalue problem are the preferred routes to extend QGA usage to other physical systems.
Keywords:
Quantum genetic algorithm
Fitness function
Quantum evolutionary algorithm
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