Multi-objective Optimisation Decision-making Model Based on Multi-strategy Balancing

This paper proposes a multi-objective optimisation decision-making model based on multi-strategy equilibrium, which solves the problem of co-operation and conflict between the objectives of multiple stakeholders in modern complex systems. Factors such as economic gain, environmental impact and social satisfaction are considered in the model, and a feedback mechanism is established to enhance the long-term stability of the system. Through the weighted summation method combined with the MATLAB optimisation toolbox, the model is able to effectively solve the Pareto optimal solution and achieve dynamic balance between multiple conflicting objectives. Comparative analysis shows that compared with the traditional multi-objective optimisation methods and group decision-making models, the model in this paper shows certain advantages in terms of computational efficiency, solution quality and applicability, and can be better applied to complex decision-making environments.

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Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.05.126
Citations
1
Primary Topic
Industrial Technology and Control Systems
Type
article
Field-Weighted Citation Impact
1.21
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article

Multi-objective Optimisation Decision-making Model Based on Multi-strategy Balancing

Holley Long
1 citations
Procedia Computer Science
Industrial Technology and Control Systems
1.21
article

Multi-objective Optimisation Decision-making Model Based on Multi-strategy Balancing

Holley Long
article en
1 citations

Abstract

This paper proposes a multi-objective optimisation decision-making model based on multi-strategy equilibrium, which solves the problem of co-operation and conflict between the objectives of multiple stakeholders in modern complex systems. Factors such as economic gain, environmental impact and social satisfaction are considered in the model, and a feedback mechanism is established to enhance the long-term stability of the system. Through the weighted summation method combined with the MATLAB optimisation toolbox, the model is able to effectively solve the Pareto optimal solution and achieve dynamic balance between multiple conflicting objectives. Comparative analysis shows that compared with the traditional multi-objective optimisation methods and group decision-making models, the model in this paper shows certain advantages in terms of computational efficiency, solution quality and applicability, and can be better applied to complex decision-making environments.

Procedia Computer ScienceVol. 262
Jinan University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 21%
Industrial Technology and Control Systems
1.21
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