Information Technology in an Improved Quantum Genetic Algorithm Based on Dynamic Adjustment of Quantum Rotation Angle

Hui Xia Li; Yun Can Xue; Jian Qiang Zhang; Qi Wen Yang

doi:10.4028/www.scientific.net/AMR.859.577

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Information Technology in an Improved Quantum Genetic Algorithm Based on Dynamic Adjustment of Quantum Rotation Angle
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 859Information Technology in an Improved Quantum...

Information Technology in an Improved Quantum Genetic Algorithm Based on Dynamic Adjustment of Quantum Rotation Angle

Abstract:

To overcome the shortcomings of precocity and being easily trapped into local optimum of the standard quantum genetic algorithm (QGA) , Information Technology in An Improved Quantum Genetic Algorithm based on dynamic adjustment of the quantum rotation angle of quantum gate (DAAQGA) was proposed. Mutation operation using the quantum not-gate is also introduced to enhance the diversity of population. Chaos search are also introduced into the modified algorithm to improve the search accuracy. Simulation experiments have been carried and the results show that the improved algorithm has excellent performance both in the preventing premature ability and in the search accuracy.

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Periodical:

Advanced Materials Research (Volume 859)

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577-581

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https://doi.org/10.4028/www.scientific.net/AMR.859.577

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Online since:

December 2013

Authors:

Hui Xia Li, Yun Can Xue, Jian Qiang Zhang, Qi Wen Yang

Keywords:

Chaos Search, Information Technology (IT), Quantum Genetic Algorithm, Quantum Mutation, Quantum Rotation Gate

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