Investigation of Brood Size in GP with Brood Recombination Crossover for Object Recognition

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{DBLP:conf/pricai/ZhangGLQ06,

• author = "Mengjie Zhang and Xiaoying Gao and Weijun Lou and Dongping Qian",
• title = "Investigation of Brood Size in GP with Brood Recombination Crossover for Object Recognition",
• booktitle = "PRICAI 2006: Trends in Artificial Intelligence, Proceedings 9th Pacific Rim International Conference on Artificial Intelligence",
• year = "2006",
• pages = "923--928",
• DOI = "doi:10.1007/11801603_107",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• editor = "Qiang Yang and Geoffrey I. Webb",
• publisher = "Springer",
• series = "Lecture Notes in Computer Science",
• volume = "4099",
• ISBN = "3-540-36667-9",
• address = "Guilin, China",
• month = aug # " 7-11",
• keywords = "genetic algorithms, genetic programming",
• size = "6 pages",
• abstract = "This paper describes an approach to the investigation of brood size in the brood recombination crossover method in genetic programming for object recognition problems. The approach is examined and compared with the standard crossover operator on three object classification problems of increasing difficulty. The results suggest that the brood recombination method outperforms the standard crossover operator for all the problems in terms of the classification accuracy. As the brood size increases, the system effective performance can be improved. When it exceeds a certain point, however, the effective performance will not be improved and the system will become less efficient.",

}

Genetic Programming entries for Mengjie Zhang Xiaoying (Sharon) Gao Weijun (Norman) Lou Dongping Qian

Citations