A Quantum Behaved Krill Herd Algorithm and Its Simulation Analysis
[1]Liu Zhen,Liu Wenbiao,Lu Huajie.A Quantum Behaved Krill Herd Algorithm and Its Simulation Analysis[J].Journal of Zhengzhou University (Engineering Science),2018,39(06):43-49.[doi:10.13705/j.issn.1671-6833.2018.06.017]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
39卷
Number of periods:
2018 06
Page number:
43-49
Column:
Public date:
2018-10-24
- Title:
- A Quantum Behaved Krill Herd Algorithm and Its Simulation Analysis
- Keywords:
- Krill algorithm; co-evolution; quantum; multiple populations; potential well
- CLC:
- -
- DOI:
- 10.13705/j.issn.1671-6833.2018.06.017
- Abstract:
- Aiming at the low efficiency and easy trap into local optimum for the basic krill herd algorithm, a new quantum behave krill herd algorithm was proposed. It was named as cooperative evolution quantum krill herd algorithm (CEQKHA) based on cooperative evolution and quantum computation. The population could be divided into two parts, such as main population and sub-population, which could evolve independently and exchange fine individuals. The position of krill herd could be updated by using quantum activity. The best position of krill herd could be set as the center of potential well of delta potential well, and the position of krill herd in the different population can evolve in different way. The convergence of the algorithm was also deduced. Simulation of benchmark functions proved that CEQKHA could get better results and perform well than other algorithms
- References:
- -
- Similar References:
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Last Update:
2018-10-26