Imbalance analysis of regional economic law laws incorporating improved PPO algorithms
This paper first analyzes the status quo of regional economic law coordinated development and draws out the mechanism and characteristics of regional economic law legal imbalance under the perspective of game theory. Then, on the basis of the proximal strategy optimization algorithm, the generative...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2023.2.01369 |
| _version_ | 1797340532602568704 |
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| author | Yi Yanwei Lin Xiaohong |
| author_facet | Yi Yanwei Lin Xiaohong |
| author_sort | Yi Yanwei |
| collection | DOAJ |
| description | This paper first analyzes the status quo of regional economic law coordinated development and draws out the mechanism and characteristics of regional economic law legal imbalance under the perspective of game theory. Then, on the basis of the proximal strategy optimization algorithm, the generative adversarial network is introduced, and according to the auxiliary role of the subjective metric constituted by the generator in the generative adversarial network as the dominance function to provide the real metric, the GAN-PPO algorithm based on the generative adversarial network is constructed to improve the GAN-PPO algorithm. Finally, after evaluating the performance of the improved PPO algorithm, the mechanism and degree of imbalance in regional economic law laws are studied using the GAN-PPO algorithm. The results show that the GAN-PPO algorithm reaches the peak gain at 1,250,000 steps, the peak value of the average reward obtained is 885, and the speed of convergence is improved by 0.42 in the sensitive environment, which realizes the acceleration of the algorithm. In the regional economic law imbalance, the degree of regional economic imbalance is between [0.1,0.48], the degree of industrial imbalance is between [0.08,0.43], the degree of capacity imbalance is between [0.10,0.45], and the degree of information imbalance is between [0.05,0.38], and the regional economic law legal imbalance is obvious, and it needs to be reasonably regulated. |
| first_indexed | 2024-03-08T10:04:26Z |
| format | Article |
| id | doaj.art-239a1f70b59741e9ac54e2eea7195674 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:04:26Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-239a1f70b59741e9ac54e2eea71956742024-01-29T08:52:42ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.01369Imbalance analysis of regional economic law laws incorporating improved PPO algorithmsYi Yanwei0Lin Xiaohong11Hospitality Institute of Sanya, Sanya, Hainan, 571024, China.2Haikou University of Economics, Haikou, Hainan, 571127, China.This paper first analyzes the status quo of regional economic law coordinated development and draws out the mechanism and characteristics of regional economic law legal imbalance under the perspective of game theory. Then, on the basis of the proximal strategy optimization algorithm, the generative adversarial network is introduced, and according to the auxiliary role of the subjective metric constituted by the generator in the generative adversarial network as the dominance function to provide the real metric, the GAN-PPO algorithm based on the generative adversarial network is constructed to improve the GAN-PPO algorithm. Finally, after evaluating the performance of the improved PPO algorithm, the mechanism and degree of imbalance in regional economic law laws are studied using the GAN-PPO algorithm. The results show that the GAN-PPO algorithm reaches the peak gain at 1,250,000 steps, the peak value of the average reward obtained is 885, and the speed of convergence is improved by 0.42 in the sensitive environment, which realizes the acceleration of the algorithm. In the regional economic law imbalance, the degree of regional economic imbalance is between [0.1,0.48], the degree of industrial imbalance is between [0.08,0.43], the degree of capacity imbalance is between [0.10,0.45], and the degree of information imbalance is between [0.05,0.38], and the regional economic law legal imbalance is obvious, and it needs to be reasonably regulated.https://doi.org/10.2478/amns.2023.2.01369game theoryppo algorithmgenerative adversarial networkgan-ppo algorithmregional economic law62p20 |
| spellingShingle | Yi Yanwei Lin Xiaohong Imbalance analysis of regional economic law laws incorporating improved PPO algorithms Applied Mathematics and Nonlinear Sciences game theory ppo algorithm generative adversarial network gan-ppo algorithm regional economic law 62p20 |
| title | Imbalance analysis of regional economic law laws incorporating improved PPO algorithms |
| title_full | Imbalance analysis of regional economic law laws incorporating improved PPO algorithms |
| title_fullStr | Imbalance analysis of regional economic law laws incorporating improved PPO algorithms |
| title_full_unstemmed | Imbalance analysis of regional economic law laws incorporating improved PPO algorithms |
| title_short | Imbalance analysis of regional economic law laws incorporating improved PPO algorithms |
| title_sort | imbalance analysis of regional economic law laws incorporating improved ppo algorithms |
| topic | game theory ppo algorithm generative adversarial network gan-ppo algorithm regional economic law 62p20 |
| url | https://doi.org/10.2478/amns.2023.2.01369 |
| work_keys_str_mv | AT yiyanwei imbalanceanalysisofregionaleconomiclawlawsincorporatingimprovedppoalgorithms AT linxiaohong imbalanceanalysisofregionaleconomiclawlawsincorporatingimprovedppoalgorithms |