Journal of Jilin University(Engineering and Technology Edition) ›› 2022, Vol. 52 ›› Issue (3): 684-692.doi: 10.13229/j.cnki.jdxbgxb20200005

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Optimization of consensus algorithm for drug detection block chain based on cultural genetic algorithm

Bin-xiang JIANG1,2,3(),Tong-tong JIANG1,Yong-lei WANG4   

  1. 1.School of Information and Electrical Engineering，Shandong Jianzhu University，Jinan 250101，China
    2.Juvenile Crime & Justice Research Center，China University of Political Science & Law，Beijing 100088，China
    3.Institute of Computational Psychology，Shandong University，Jinan 250101，China
    4.AI Research Institute of Hunan Enht Technology Co. ，Ltd. ，Qingdao 266000，China
  • Received:2020-12-31 Online:2022-03-01 Published:2022-03-08

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Abstract:

At present, China's drug testing laboratories conduct their own tests independently, and there is no information exchange between the laboratories, forming a large number of drug testing information islands, which hindrance the problem of drug testing data sharing and research and early warning of parallel cases. This paper proposes to use alliance chain to solve the data sharing of drug testing laboratories, and analyzes the problem of consensus algorithm of drug testing alliance Block chain. Aiming at the consensus algorithm problem, this paper proposes to optimize the consensus algorithm of drug testing blockchain based on Cultural Genetic Algorithm. Firstly, Genetic Algorithm (GA) is modified to form efficient HGA algorithm based on Hash function. Then, an efficient Cultural Genetic algorithm CHGA is formed by introducing Cultural Algorithm to transform HGA. Then combining Pareto multi-objective optimization technology to improve the efficient multi-objective optimization Cultural Genetic Algorithm PCHGA algorithm, and using PCHGA algorithm to solve the Byzantine fault-tolerant consensus algorithm, the formation of multi-objective optimization cultural genetic algorithm practical Byzantine algorithm PCHGA-PBFT. The problem of consensus node candidate set and primary node election of PBFT is solved with the algorithm above, and the available algorithm of PBFT consensus optimization is obtained.The simulation results show that the proposed algorithm achieves the desired results in the selection of consensus nodes and primary nodes.

Key words: alliance block chain, drug testing, PBFT algorithm, cultural genetic algorithm, Hash function, multi-objective optimization

CLC Number: 

  • TP393

Fig.1

Flow of PBFT algorithm"

Fig.2

Hash genetic algorithm HGA"

Fig.3

Cultural genetic algorithm CHGA"

Fig.4

Genetic coding of chromosomes"

Fig.5

Multi-objective decision"

Fig.6

Multi-objective cultural genetic algorithmPCHGA-PBFT"

Fig.7

PCHGA-PBFT consensus node set"

Fig.8

PCHGA-PBFTprimary node election"

Fig.9

PCHGA-PBFT consensus node optimization"

Fig.10

PCHGA-PBFT consensus trading delay time"

Fig.11

PCHGA-PBFT transaction throughput"

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