Research on Community Competition and Adaptive Genetic Algorithm for Automatic Generation of Tang Poetry
Joint Authors
Yang, Wujian
Cheng, Yining
He, Jie
Hu, Wenqiong
Lin, Xiaojia
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-04-10
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
As there are many researches about traditional Tang poetry, among which automatically generated Tang poetry has arouse great concern in recent years.
This study presents a community-based competition and adaptive genetic algorithm for automatically generating Tang poetry.
The improved algorithm with community-based competition that has been added aims to maintain the diversity of genes during evolution; meanwhile, the adaptation means that the probabilities of crossover and mutation are varied from the fitness values of the Tang poetry to prevent premature convergence and generate better poems more quickly.
According to the analysis of experimental results, it has been found that the improved algorithm is superior to the conventional method.
American Psychological Association (APA)
Yang, Wujian& Cheng, Yining& He, Jie& Hu, Wenqiong& Lin, Xiaojia. 2016. Research on Community Competition and Adaptive Genetic Algorithm for Automatic Generation of Tang Poetry. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1112141
Modern Language Association (MLA)
Yang, Wujian…[et al.]. Research on Community Competition and Adaptive Genetic Algorithm for Automatic Generation of Tang Poetry. Mathematical Problems in Engineering No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1112141
American Medical Association (AMA)
Yang, Wujian& Cheng, Yining& He, Jie& Hu, Wenqiong& Lin, Xiaojia. Research on Community Competition and Adaptive Genetic Algorithm for Automatic Generation of Tang Poetry. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1112141
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112141