Letia, T.S.; Durla-Pasca, E.M.; Al-Janabi, D.; Cuibus, O.P. Development of Evolutionary Systems Based on Quantum Petri Nets. Mathematics2022, 10, 4404.
Letia, T.S.; Durla-Pasca, E.M.; Al-Janabi, D.; Cuibus, O.P. Development of Evolutionary Systems Based on Quantum Petri Nets. Mathematics 2022, 10, 4404.
Letia, T.S.; Durla-Pasca, E.M.; Al-Janabi, D.; Cuibus, O.P. Development of Evolutionary Systems Based on Quantum Petri Nets. Mathematics2022, 10, 4404.
Letia, T.S.; Durla-Pasca, E.M.; Al-Janabi, D.; Cuibus, O.P. Development of Evolutionary Systems Based on Quantum Petri Nets. Mathematics 2022, 10, 4404.
Abstract
The evolutionary systems (ES) include software applications that solve problems using heuristic methods instead of the deterministic ones. The classical computing used for ES development involves random methods to improve different kinds of genomes. The mappings of these genomes lead to individuals that correspond to the searched solutions. The individual evaluations by simulations serve for the improvement of their genotypes. Quantum computations, unlike the classical computations, can describe and simulate a large set of individuals simultaneously. This feature is used to diminish the time for finding the solutions. Quantum Petri Nets (QPNs) can model dynamical systems with probabilistic features that make them appropriate for the development of ES. Some examples of ES applications using the QPNs are given to show the benefits of the current approach.
Keywords
quantum computing; genetic algorithms; Petri nets; Quantum Petri nets; software development; analysis and verification
Subject
Computer Science and Mathematics, Data Structures, Algorithms and Complexity
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
