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《JOURNAL OF CHANGSHA UNIVERSITY OF ELECTRIC POWER(NATURAL SCIENCE)》 1999-01
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Analysis on Searching Efficiency of ParthenoGenetic Algorithm

Li Maojun (Dept. of Electr. Eng. Changsha Univ.of Electr.Power Changsha 410077) Qiu Lifang (Hunan Machinery Industry School Changsha 410007) Tong Tiaosheng (Dept. of Electr. Eng.Hunan Univerity Changsha 410082)  
Partheno-Genetie Algorithm (PGA) is a new method in solving combinatorial optimization problem.Compared with traditional genetic algorithms,the genetic operation of PGA is simpler and its initial population need not be varied and there is no immature convergence in PGA.On the basis of the schema theorem and Markov chain of PGA,the searching efficieney of PGA is analysed and an efficient measure to raise searching efficiency is pointed out.The efficiency of PGA is proved by a calculating example.
【Fund】: 国家教委博士点基金 湖南省自然科学基金
【CateGory Index】: TP11
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