Title :
Genetic and Ant Algorithms Based Focused Crawler Design
Author_Institution :
Shenzhen Securities Inf. Co., Ltd., Shenzhen, China
Abstract :
A novel design of the focused crawler based on the genetic and ant algorithms is proposed in this paper. The genetic and ant algorithms are combined together to improve the performance of focused crawler. The selection operator, crossover and mutation operator are optimized. The whole improved frame is funded on the new URL analysis model. And experimental results show the new algorithm´s efficiency.
Keywords :
Internet; genetic algorithms; search engines; URL analysis model; ant algorithm; crossover operator; focused crawler design; genetic algorithm; mutation operator; selection operator; Algorithm design and analysis; Analytical models; Crawlers; Genetic algorithms; Genetics; Search engines; Web pages; URL; focused crawler; genetic and ant algorithm;
Conference_Titel :
Innovations in Bio-inspired Computing and Applications (IBICA), 2011 Second International Conference on
Conference_Location :
Shenzhan
Print_ISBN :
978-1-4577-1219-7
DOI :
10.1109/IBICA.2011.98
