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《PROCEEDINGS OF THE CSU-EPSA》 1998-01
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GENETIC ALGORITHM AND ITS MODIFICATION

Duan Yuqian He Jiali (Deptartment of Electrical Engineering, Tianjin University,Tianjin,300072)  
In this paper, we first introduced and discussed in detail the Genetic Algorithm (GA) on its origin, its basic principle, its mathematics mechanism and its characteristics and application. In order to improve the convergence of GA, considering that it is difficult to choose the probability of crossover (Pc) and mutation (Pm), an Adaptive Genetic Algorithm (AGA) in which Pc and Pm were varied depending on the fitness values of the solutions was simply introduced. After analyzing its deficiency, a modified method Modified Adaptive Genetic Algorithm (MAGA) was presented in this paper. Finally, we compared the performance of the MAGA with those of the other methods using several optimization problems. Results showed that MAGA presented in this paper greatly improved the performance of convergence to the global optimum.
【Key Words】: Genetic Algorithm Adaptive Genetic Algorithm
【Fund】: 国家教委博士学科点基金
【CateGory Index】: O29
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