An Improved Quantum Ant Colony Algorithm of Solving Nonlinear Equation Groups

Yue Hua Xia; Yue Guang Li

doi:10.4028/www.scientific.net/AMR.1049-1050.1363

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1049-1050An Improved Quantum Ant Colony Algorithm of...

An Improved Quantum Ant Colony Algorithm of Solving Nonlinear Equation Groups

Abstract:

In this paper, according to the characteristics of nonlinear equations. A new algorithm, Quantum Ant Colony Algorithm (QACA) is proposed. The core is that Q-bit and quantum rotation gate adopted in QEA are introduced into ACS to represent and update the pheromone respectively, so it has better diversity and global search capacity. The experimental result demonstrates that QACA can get better solutions to nonlinear equations.

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Periodical:

Advanced Materials Research (Volumes 1049-1050)

Pages:

1363-1366

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1049-1050.1363

Citation:

Cite this paper

Online since:

October 2014

Authors:

Yue Hua Xia*, Yue Guang Li

Keywords:

Ant Colony System, Loudness, Nonlinear Equations, Quantum Algorithm, Quantum Ant Colony Algorithm

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* - Corresponding Author

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