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Recursive Conditional Schema Theorem, Convergence and Population Sizing in Genetic Algorithms
2001Abstract In this paper we start by presenting two forms of schema theorem in which expectations are not present. These theorems allow one to predict with a known probability whether the number of instances of a schema at the next generation will be above a given threshold.
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Short notes on the schema theorem and the building block hypothesis in genetic algorithms
1998After decades of success, research on evolutionary algorithms aims at developing a sound theory that describes and predict the behavior of these algorithms. One research topic of interest is the analysis of the role of crossover and recombination in genetic algorithms, especially since various papers come to different conclusions.
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Genetic algorithm based on schema comparison
Journal of Computer Applications, 2008openaire +1 more source
Noisy intermediate-scale quantum algorithms
Reviews of Modern Physics, 2022Kishor Bharti +2 more
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Multi-qubit entanglement and algorithms on a neutral-atom quantum computer
Nature, 2022Yunheung Song +2 more
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A review of cancer immunotherapy toxicity
Ca-A Cancer Journal for Clinicians, 2020Lucy Boyce Kennedy
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Quantum Information and Algorithms for Correlated Quantum Matter
Chemical Reviews, 2021Kade Head-Marsden +2 more
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Skeletal infections: microbial pathogenesis, immunity and clinical management
Nature Reviews Microbiology, 2022Elysia A Masters +2 more
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SciPy 1.0: fundamental algorithms for scientific computing in Python
Nature Methods, 2020Pauli Virtanen +2 more
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