Квантовий генетичний алгоритм вищих порядків для 0–1 задачі пакування рюкзака

In order to enhance the effectiveness of the quantum genetic algorithm (QGA), it is proposed to switch to higher-order quantum registers in the quantum chromosome representation. Such representation makes it possible to apply a powerful quantum computations mechanism – quantum state entanglement. In...

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Bibliographic Details
Date:2018
Main Authors: Tkachuk, Valerii M., Tkachuk, Orysya M.
Format: Article
Language:Ukrainian
Published: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2018
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Online Access:http://journal.iasa.kpi.ua/article/view/132427
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Journal Title:System research and information technologies

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System research and information technologies
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Summary:In order to enhance the effectiveness of the quantum genetic algorithm (QGA), it is proposed to switch to higher-order quantum registers in the quantum chromosome representation. Such representation makes it possible to apply a powerful quantum computations mechanism – quantum state entanglement. In the algorithm implementation, we also use an adaptive quantum gate operator and propose a quantum chromosome recovery technology for solving constrained combinatorial optimization problems. The influence of the quantum register size on the algorithm efficiency has been investigated. The advantages of the suggested approach in comparison with the QGA traditional implementation are demonstrated on the example of multidimensional 0–1 knapsack problem and different levels of input data correlation.