Optimization Algorithm Based on Human Infection with Avian Influenza

Authors

Guangqiu Huang, School of Management, Xi'an University of Architecture and Technology, Xi'an 710055, China;
Qiuqin Lu, School of Management, Xi'an University of Architecture and Technology, Xi'an 710055, China;

Abstract

Abstract: To get the global optimal solution of some complex nonlinear optimization problems, an optimization algorithm based on the human avian influenza infectious diseases is proposed by using its dynamic model of cross species transmission. Applies the H7N9 infectious disease model to create the operators S^u-S^u, I^u-I^u, S^u-I^u, I^u-S^u, S^u-D^u, I^u-D^u, and to enable the individuals to exchange information among the same species and cross-species. The S^u-S^u and I^u-I^u operators can improve the characteristics of the weak individuals by that of the strong individuals, thus the exploitation ability of the algorithm can be improved. The S^u-I^u and I^u-S^u operators can improve the fitness distribution characteristics of the individuals, therefore, the exploration ability of the algorithm can be improved. The S^u-D^u and I^u-D^u operators can effectively remove the extremely weak individual, thereby the probability that the algorithm falls into a local trap can be reduced. The test cases show that the algorithm can quickly solve some complex nonlinear optimization problems with high dimensions.

Recommended Citation

Huang, Guangqiu and Lu, Qiuqin (2020) "Optimization Algorithm Based on Human Infection with Avian Influenza," Journal of System Simulation: Vol. 32: Iss. 5, Article 3.
DOI: 10.16182/j.issn1004731x.joss.19-0077
Available at: https://dc-china-simulation.researchcommons.org/journal/vol32/iss5/3

First Page

767

Revised Date

2020-03-25

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.19-0077

Last Page

781

CLC

TP391.9

Recommended Citation

Huang Guangqiu, Lu Qiuqin. Optimization Algorithm Based on Human Infection with Avian Influenza[J]. Journal of System Simulation, 2020, 32(5): 767-781.

DOI

10.16182/j.issn1004731x.joss.19-0077