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《Journal of Changchun University of Science and Technology(Natural Science Edition)》 2009-02
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Quantum Clone Algorithm which uses in the Function Optimizing

NI Hongmei1,WANG Weigang2 (1. School of Computer and Information Technology,Daqing Petroleum Institute,Daqing 163318; 2. School of Mechanical Science and Engineering,Daqing Petroleum Institute,Daqing 163318)  
In order to solve the questions of the traditional quantum evolution algorithm, which are easy to fall into precocity and the slow convergence rate in the complex function optimizing, clone operator is introduced into the quantum evolution algorithm. The quantum clone algorithm which is a kind of new evolution algorithm is proposed. This algorithm both has drawn lessons from the highly effective parallelism of quantum evolution algorithm and has used the multiplicity of clone operator increasing population. It has enhanced the overall situation optimization ability in solving function optimization question. The simulation result indicates that the algorithm is superior to the traditional quantum evolution algorithm and has solved the optimization problem of complex function.
【CateGory Index】: TP18
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