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| Bimonthly Since 1986 |
ISSN 1004-9037
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| Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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05 July-September 2023, Volume 38 Issue 4
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Abstract
Abstract:
Blockchain technology has the potential to revolutionize various industries by providing a secure and decentralized way of storing and verifying data. However, measuring the performance and scalability of Blockchain systems are often limited and required a simulator. In this paper, we propose the use of genetic algorithms for optimizing Blockchain simulator. Blockchain simulator, such as BlockSim, demonstrate the effectiveness of a series of experiments on different situations. Hence, an optimization algorithm is required. Our results show that Genetic algorithm can significantly optimize the performance and scalability of Blockchain systems.
Keyword
Blockchain, Genetic Algorithm, Optimization, Fitness Function, BlockSim.
PDF Download (click here)
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