Investigation of Brood Size in GP with Brood Recombination Crossover for Object Recognition
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{DBLP:conf/pricai/ZhangGLQ06,
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author = "Mengjie Zhang and Xiaoying Gao and Weijun Lou and
Dongping Qian",
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title = "Investigation of Brood Size in GP with Brood
Recombination Crossover for Object Recognition",
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booktitle = "PRICAI 2006: Trends in Artificial Intelligence,
Proceedings 9th Pacific Rim International Conference on
Artificial Intelligence",
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year = "2006",
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pages = "923--928",
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DOI = "doi:10.1007/11801603_107",
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bibsource = "DBLP, http://dblp.uni-trier.de",
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editor = "Qiang Yang and Geoffrey I. Webb",
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publisher = "Springer",
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series = "Lecture Notes in Computer Science",
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volume = "4099",
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ISBN = "3-540-36667-9",
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address = "Guilin, China",
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month = aug # " 7-11",
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keywords = "genetic algorithms, genetic programming",
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size = "6 pages",
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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