Abstract The paper put forward an improved QGA in order to solve the shortcomings of traditional QGA in optimizing the multimodal function, like lower convergence speed, easier to local optimum. The improved QGA will adjust the rotation angle of quantum gate according to the dynamic evolutionary process, so it can speed up the convergence of the multimodal function. In order to avoiding the individual evolved to local optimum, so mutation was introduced. Lastly, through the typical complex multimodal function test to prove the validity of the improved QGA.
Application of the Improved Quantum Genetic Algorithm
2014-01-01
7 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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