高等学校计算数学学报
高等學校計算數學學報
고등학교계산수학학보
NUMERICAL MATHEMATICS A JOURNAL OF CHINESE UNIVERSITIES
2002年
3期
244-253
,共10页
partition coefficient λt%convergence%hybrid genetic algorithm
partition coefficient λt%convergence%hybrid genetic algorithm
partition coefficient λt%convergence%hybrid genetic algorithm
This article on the basis of the study of Optimum maintaining SimpleGenetic Algorithms (OMSGA) and Adaptive Genetic Algorithm (AGA), putsforward a Hybrid Genetic Algorithm (HGA) and gives it a simple analysis and itsschema theorem. In this HGA, the variability of of and its selection are always inclined to the good side of OMSGA and AGA, while overcomes the defective sideof OMSGA and AGA. This makes its performance stabler, and search efficiencybetter. Finally, its validity and stability have also been proved by means of com-paring examples.
This article on the basis of the study of Optimum maintaining SimpleGenetic Algorithms (OMSGA) and Adaptive Genetic Algorithm (AGA), putsforward a Hybrid Genetic Algorithm (HGA) and gives it a simple analysis and itsschema theorem. In this HGA, the variability of of and its selection are always inclined to the good side of OMSGA and AGA, while overcomes the defective sideof OMSGA and AGA. This makes its performance stabler, and search efficiencybetter. Finally, its validity and stability have also been proved by means of com-paring examples.
This article on the basis of the study of Optimum maintaining SimpleGenetic Algorithms (OMSGA) and Adaptive Genetic Algorithm (AGA), putsforward a Hybrid Genetic Algorithm (HGA) and gives it a simple analysis and itsschema theorem. In this HGA, the variability of of and its selection are always inclined to the good side of OMSGA and AGA, while overcomes the defective sideof OMSGA and AGA. This makes its performance stabler, and search efficiencybetter. Finally, its validity and stability have also been proved by means of com-paring examples.
