Quantum fuzzy genetic algorithm with Turing to solve DE

Ahmed Hamid, Elias Igor Klebanov, Salah A. Albermany

Abstract


In this study, we create the quantum fuzzy Turing machine (QFTM) approach for solving fuzzy differential equations under Seikkala differentiability by combining it with a differential equation and a genetic algorithm. A theoretical model of computation called a quantum fuzzy Turing machine (QFTM) incorporates aspects of fuzzy logic and quantum physics.

Keywords


Quantum, Fuzzy genetic, algorithm, Turing DE

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DOI: http://dx.doi.org/10.21533/pen.v11i1.3417

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Copyright (c) 2023 Ahmed Hamid, Elias Igor Klebanov, Salah A. Albermany

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

ISSN: 2303-4521

Digital Object Identifier DOI: 10.21533/pen

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License