<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>As an effective economic decision-making tool in enterprise economic management, Marginal Analysis is crucial to reflect the small change relationship between costs and benefits. This paper aims to develop a multi-objective marginal analysis optimization algorithm (MMAOA) that utilizes marginal analysis to optimize the enterprise economic management model and risk control. This algorithm's improvement of the population initialization method and constraint handling enhances the quality of understanding and search efficiency. In this study, an improved population initialization method is designed to ensure that the population is within the upper and lower limits of the output power. Then the constraints are reasonably handled by the penalty function method and the correction method to enhance the feasibility and robustness of the algorithm. Guided by the concept of Pareto optimality, MMAOA is successfully applied to multi-objective optimization problems, and the algorithm can efficiently generate a set of Pareto optimal solutions under the consideration of equilibrium constraints and inequality constraints, in which the objective function values of certain optimization instances are improved by more than 10%. Following marginal analysis, this study presents the disparity in ROI between the East and West and the three stages of agricultural economic efficiency. This article provides a new optimization tool for enterprise financial management and a quantitative analysis method for risk assessment.</p>
</abstract>

As an effective economic decision-making tool in enterprise economic management, Marginal Analysis is crucial to reflect the small change relationship between costs and benefits. This paper aims to develop a multi-objective marginal analysis optimization algorithm (MMAOA) that utilizes marginal analysis to optimize the enterprise economic management model and risk control. This algorithm's improvement of the population initialization method and constraint handling enhances the quality of understanding and search efficiency. In this study, an improved population initialization method is designed to ensure that the population is within the upper and lower limits of the output power. Then the constraints are reasonably handled by the penalty function method and the correction method to enhance the feasibility and robustness of the algorithm. Guided by the concept of Pareto optimality, MMAOA is successfully applied to multi-objective optimization problems, and the algorithm can efficiently generate a set of Pareto optimal solutions under the consideration of equilibrium constraints and inequality constraints, in which the objective function values of certain optimization instances are improved by more than 10%. Following marginal analysis, this study presents the disparity in ROI between the East and West and the three stages of agricultural economic efficiency. This article provides a new optimization tool for enterprise financial management and a quantitative analysis method for risk assessment.

Optimization of Enterprise Economic Management Model and Risk Control Based on Marginal Analysis Approach

School of Economics and Management of Neijiang Normal University

Applied Mathematics and Nonlinear Sciences

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

As an effective economic decision-making tool in enterprise economic management, Marginal Analysis is crucial to reflect the small change relationship between...

Optimization of Enterprise Economic Management Model and Risk Control Based on Marginal Analysis Approach

Pubblicato online: 01 apr 2024

Pagine: -

Ricevuto: 02 feb 2024

Accettato: 11 feb 2024

DOI: https://doi.org/10.2478/amns-2024-0809

Parole chiave
Marginal analysis method, Multi-objective optimization, Enterprise economic management, Risk control

© 2024 Xiaoyun Wu, published by Sciendo

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

Optimization of Enterprise Economic Management Model and Risk Control Based on Marginal Analysis Approach

Pubblicato online: 01 apr 2024

Pagine: -

Ricevuto: 02 feb 2024

Accettato: 11 feb 2024

DOI: https://doi.org/10.2478/amns-2024-0809

Parole chiaveMarginal analysis method, Multi-objective optimization, Enterprise economic management, Risk control

© 2024 Xiaoyun Wu, published by Sciendo

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

Parole chiave
Marginal analysis method, Multi-objective optimization, Enterprise economic management, Risk control