Ant colony factor differential evolutionary algorithm based on Hyperledger Fabric for trustworthy service composition optimization

Ran Ruisheng
Liu Zhen
Qi Xiang
Peng Shunshun
School of Computer & Information Science, Chongqing Normal University, Chongqing 401331, China

Abstract

In order to guarantee the authenticity of QoS data in the process of service composition optimization, this paper proposed a trusted framework based on the Hyperledger Fabric. Meanwhile, this paper proposed a service composition optimization method of differential evolution algorithm with ant colony factor to improve the efficiency of service composition optimization. Firstly, this paper deployed corresponding nodes on the Hyperledger Fabric to build a trusted framework that guaranteed the authenticity of the candidate services. Then, in the form of a smart contract on the blockchain, the proposed algorithm solved the optimization problem for the combination of services, enabling the composition process could be execute in a trusted environment. The algorithm helped the algorithm dynamically control the search space and record the key information in the iteration process by introducing various ACO factors, such as the ACO path factor, the optimal ACO factor, the pheromone factor and the difference calculation based on the ACO factors, in order to improve the optimization capability of the algorithm. Finally, the simulation experiments demonstrate that the trustworthy framework can effectively guarantee the trustworthiness of data; ACOF-DE has better optimization efficiency compared with other intelligent optimization algorithms.

Foundation Support

重庆市技术创新与应用发展专项面上项目(cstc2020jscx-msxmX0190)
重庆市教委科学技术研究项目(KJZD-K202100505,KJQN202100515)
重庆师范大学(人才引进/博士启动)基金项目(21XLB003)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.01.0078
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 10
Section: Technology of Blockchain
Pages: 2922-2927
Serial Number: 1001-3695(2023)10-006-2922-06

Publish History

[2023-04-28] Accepted Paper
[2023-10-05] Printed Article

Cite This Article

冉瑞生, 刘震, 祁翔, 等. 基于超级账本的蚁群因子差分进化算法的可信服务组合优化 [J]. 计算机应用研究, 2023, 40 (10): 2922-2927. (Ran Ruisheng, Liu Zhen, Qi Xiang, et al. Ant colony factor differential evolutionary algorithm based on Hyperledger Fabric for trustworthy service composition optimization [J]. Application Research of Computers, 2023, 40 (10): 2922-2927. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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