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While correct risk assessment is crucial, it is not without its flaws. Accounting resource sharing management assessment and analysis problems are intractable and provide unsatisfactory results when solved with the conventional ant colony technique. Consequently, this study examines the risk assessment. In order to minimize interference factors in risk assessment, and then the influencing variables are located using cross-cutting theory. The next step is to use crossover theory to build the genetic algorithm’s risk assessment scheme, and then to conduct a thorough analysis of the assessment findings. When comparing the genetic algorithm with the classic ant colony method, the MATLAB simulation results reveal that the genetic algorithm outperforms the traditional algorithm under certain evaluation criteria, particularly when it comes to the time it takes to analyze risks.

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Risk Assessment Analysis of Resource Sharing Management of Accounting Courses Based on Genetic Algorithm

  • 会议论文

  • 发表日期：

    2026年

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  • Gao Chunyan

摘要

While correct risk assessment is crucial, it is not without its flaws. Accounting resource sharing management assessment and analysis problems are intractable and provide unsatisfactory results when solved with the conventional ant colony technique. Consequently, this study examines the risk assessment. In order to minimize interference factors in risk assessment, and then the influencing variables are located using cross-cutting theory. The next step is to use crossover theory to build the genetic algorithm’s risk assessment scheme, and then to conduct a thorough analysis of the assessment findings. When comparing the genetic algorithm with the classic ant colony method, the MATLAB simulation results reveal that the genetic algorithm outperforms the traditional algorithm under certain evaluation criteria, particularly when it comes to the time it takes to analyze risks.