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Modeling and optimal control of nonlinear fractional order chaotic models of factors affecting auditors' stress and burnout using evolutionary algorithms | ||
Journal of Algorithms and Computation | ||
مقاله 12، دوره 57، شماره 1، آبان 2025، صفحه 185-212 اصل مقاله (1.95 M) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22059/jac.2025.396073.1231 | ||
نویسندگان | ||
hadi saeidi1؛ shaban Mohammadi* 2 | ||
1Department of Accounting, Shirvan Branch, Islamic Azad University, Shirvan, Iran | ||
2Faculty of mathematical sciences, Shahrood university of technology, Shahrood, Semnan, Iran. | ||
چکیده | ||
The aim of the current research is to present the model and optimal control of the nonlinear fractional order chaotic system of the effective factors of stress and burnout of auditors using evolutionary algorithms. Mathematical models related to auditors' stress and burnout were built with the help of fractional differential calculus. Chaotic and fractional non-linearity of the proposed models and the need for optimal control were investigated. Then the presented nonlinear fractional order chaotic models were optimally controlled. Genetic algorithm and particle swarm optimization algorithm were used to implement the model simulation process and their optimal control. The results of the research showed that the use of the proposed research method will improve the optimal control of chaotic models of factors affecting auditors' stress and burnout; reduce errors and increase accuracy and reliability. | ||
کلیدواژهها | ||
auditor burnout؛ modeling؛ optimal control؛ evolutionary algorithms؛ nonlinear fractional order chaotic system | ||
آمار تعداد مشاهده مقاله: 78 تعداد دریافت فایل اصل مقاله: 58 |