DocumentCode
3275643
Title
Mathematical analysis of crossover operator in genetic algorithms and its improved strategy
Author
Liang-Jie, Zhang ; Zhi-Hong, Mao ; Yan-Da, Li
Volume
1
fYear
1995
fDate
Nov. 29 1995-Dec. 1 1995
Firstpage
412
Abstract
This paper analyzes two types of crossover ways (one-point crossover and uniform crossover) based on the choice theorem of optimal crossover point. It then proposes two new crossover ways that are called “circle-ring crossover” and “sufficient exchanging”. Computer simulation results demonstrate the validity of the improved strategy
Keywords
Algorithm design and analysis; Computer simulation; Evolution (biology); Genetic algorithms; Genetic mutations; Machine learning; Mathematical analysis; Neural networks; Pattern recognition; Performance analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 1995., IEEE International Conference on
Conference_Location
Perth, WA, Australia
Print_ISBN
0-7803-2759-4
Type
conf
DOI
10.1109/ICEC.1995.489183
Filename
489183
Link To Document