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《Computer Engineering and Applications》 2008-07
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Application of modified quantum genetic algorithm in optimization of multi-peak functions.

HE Min-wei1,3,LI Gui-hai2,RUAN Bo-yao2,WANG Yang-lin2,LIN Jian3 1.School of Information,Guangdong University of Business Studies,Guangzhou 510320,China 2.School of Information,Wuyi University,Jiangmen,Guangdong 529020,China 3.School of Economics & Management,Beihang University,Beijing 100083,China  
Simple Genetic Algorithm(SGA) has some disadvantages in the multi-peak functions optimization.So does the Quantum Genetic Algorithm(QGA).In this paper,using a Modified Quantum Genetic Algorithm(MQGA) obtains the good solutions in some optimization of multi-peak functions.Compared with the SGA and the QGA,the test results for some important functions show that MQGA is more effective and feasible in some optimization of multi-peak functions
【Fund】: 广东省自然科学基金(the Natural Science Foundation of Guangdong Province of China under Grant No.010475);; 国家博士后基金(No.2005038313);; 广东省教育厅自然科学基金(No.Z02064)
【CateGory Index】: TP18
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