Blockchain event ordering algorithm based on high-dimensional multi-objective differential evolution
Since the birth of Bitcoin, blockchain technology has been widely used in many fields, such as finance, supply chain management, smart contracts, etc.and has been highly valued for its decentralized and tamper-proof characteristics. With the expansion of application scenarios, blockchain faces ineff...
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| Format: | Article |
| Language: | English |
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Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
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| Online Access: | https://doi.org/10.2478/amns-2024-0712 |
| _version_ | 1797229560509497344 |
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| author | Li Kuan |
| author_facet | Li Kuan |
| author_sort | Li Kuan |
| collection | DOAJ |
| description | Since the birth of Bitcoin, blockchain technology has been widely used in many fields, such as finance, supply chain management, smart contracts, etc.and has been highly valued for its decentralized and tamper-proof characteristics. With the expansion of application scenarios, blockchain faces inefficient data processing challenges, particularly in event sequencing and processing. Developing efficient event sequencing algorithms is a research priority to enhance the performance of blockchain systems. This study addresses the efficiency problem in blockchain event sequencing by introducing a high-dimensional multi-objective differential evolution strategy to improve blockchain technology’s performance in various fields. This paper uses the NSGA-III-WA algorithm to efficiently sort blockchain events by combining differential evolution strategies. Compared to the traditional sorting algorithm, this algorithm reduces latency by 30% and improves memory usage by about 20% when dealing with events of the same size, ensuring sorting accuracy. By optimizing the weight vector adjustment strategy, the convergence speed and distribution uniformity of the algorithm and the solution can be optimized. In this paper, the algorithm can effectively improve the efficiency and performance of blockchain event processing, which is critical in optimizing blockchain systems. |
| first_indexed | 2024-04-24T15:14:32Z |
| format | Article |
| id | doaj.art-13cfe605a72d4ebc86935e6d96719f9a |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-04-24T15:14:32Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-13cfe605a72d4ebc86935e6d96719f9a2024-04-02T09:28:42ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns-2024-0712Blockchain event ordering algorithm based on high-dimensional multi-objective differential evolutionLi Kuan01School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, Shaanxi, 710072, China.Since the birth of Bitcoin, blockchain technology has been widely used in many fields, such as finance, supply chain management, smart contracts, etc.and has been highly valued for its decentralized and tamper-proof characteristics. With the expansion of application scenarios, blockchain faces inefficient data processing challenges, particularly in event sequencing and processing. Developing efficient event sequencing algorithms is a research priority to enhance the performance of blockchain systems. This study addresses the efficiency problem in blockchain event sequencing by introducing a high-dimensional multi-objective differential evolution strategy to improve blockchain technology’s performance in various fields. This paper uses the NSGA-III-WA algorithm to efficiently sort blockchain events by combining differential evolution strategies. Compared to the traditional sorting algorithm, this algorithm reduces latency by 30% and improves memory usage by about 20% when dealing with events of the same size, ensuring sorting accuracy. By optimizing the weight vector adjustment strategy, the convergence speed and distribution uniformity of the algorithm and the solution can be optimized. In this paper, the algorithm can effectively improve the efficiency and performance of blockchain event processing, which is critical in optimizing blockchain systems.https://doi.org/10.2478/amns-2024-0712blockchainevent sequencinghigh-dimensional multi-objective differential evolutionnsga-iii-wa algorithm65y04 |
| spellingShingle | Li Kuan Blockchain event ordering algorithm based on high-dimensional multi-objective differential evolution Applied Mathematics and Nonlinear Sciences blockchain event sequencing high-dimensional multi-objective differential evolution nsga-iii-wa algorithm 65y04 |
| title | Blockchain event ordering algorithm based on high-dimensional multi-objective differential evolution |
| title_full | Blockchain event ordering algorithm based on high-dimensional multi-objective differential evolution |
| title_fullStr | Blockchain event ordering algorithm based on high-dimensional multi-objective differential evolution |
| title_full_unstemmed | Blockchain event ordering algorithm based on high-dimensional multi-objective differential evolution |
| title_short | Blockchain event ordering algorithm based on high-dimensional multi-objective differential evolution |
| title_sort | blockchain event ordering algorithm based on high dimensional multi objective differential evolution |
| topic | blockchain event sequencing high-dimensional multi-objective differential evolution nsga-iii-wa algorithm 65y04 |
| url | https://doi.org/10.2478/amns-2024-0712 |
| work_keys_str_mv | AT likuan blockchaineventorderingalgorithmbasedonhighdimensionalmultiobjectivedifferentialevolution |