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UNIVERSITY OF BUCHAREST
FACULTY OF PHYSICS Guest
2024-11-23 18:19 |
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Conference: Bucharest University Faculty of Physics 2017 Meeting
Section: Nuclear and Elementary Particles Physics
Title:
Heuristic algorithms in the analysis of nuclear interactions
Authors:
Murat ABLAI(1)
*
Affiliation:
1) UNIVERSITY OF BUCHAREST FACULTY OF PHYSICS
E-mail
murat.ablai@gmail.com
Keywords:
Heuristic algorithms, informational entropy, genetic algorithms, neural networks
Abstract:
Relativistic nuclear physics seeks answers through experiment and applied models, models that cannot fully describe all types of interactions. Along side technological and detection limitations, fundamental accuracy issues and the impossibility to completely determine the evolution of simple systems raise enough problems in the quest of obtaining high quality information from available data.
This paper presents various methods of model identification using systems theory notions, optimization techniques and Big – Data. Various entropy analysis methods will be presented, through a quantum thermodynamic perspective, while also including concepts from statistical and quantum mechanics. Information theory notions like informational entropy or the informational content of a system will be applied to the presented case study.
The challenge in identifying correlations in strongly non-linear systems lead to the development of heuristic algorithms that can generate efficient search solutions. These algorithms are based on concepts inspired from biology and evolution like genetics, neural networks, and fuzzy logic. Genetic – neural, genetic – fuzzy or genetic – neural – fuzzy mixed structures will be presented. The case study will place a strong emphasis on their effectiveness in obtaining high quality solutions and system load. A comparative analysis of the execution times, processor load and number of input/output operations will be presented. Analysis procedures and methods that are used in avoiding local minimum and maximum will be highlighted and if these localized solutions can present interest in the identification of specific correlations
References:
K. Gödel, „Über formal unentscheidbare Sätze der Principia Mathematica und verwandter Systeme, I,” Monatshefte für Mathematik und Physik, vol. 38, pp. 173-198, 1931
W. Schindler, „Anwendungshinweise und Interpretationen (AIS). Bundesamt für Sicherheit in
der Informationstechnik,” 1999
I. Dumitrache, Ingineria reglării automate, vol. 2, București: Politehnica Press, 2010.
J. Holland, Adaption in Natural and Artificial Systems, Michigan: University of Michigan Press,1975
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