Title :
Mathematical analysis of crossover operator in genetic algorithms and its improved strategy
Author :
Liang-Jie, Zhang ; Zhi-Hong, Mao ; Yan-Da, Li
fDate :
Nov. 29 1995-Dec. 1 1995
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;
Conference_Titel :
Evolutionary Computation, 1995., IEEE International Conference on
Conference_Location :
Perth, WA, Australia
Print_ISBN :
0-7803-2759-4
DOI :
10.1109/ICEC.1995.489183
