Research on Community Competition and Adaptive Genetic Algorithm for Automatic Generation of Tang Poetry

Research on Community Competition and Adaptive Genetic Algorithm for Automatic Generation of Tang Poetry

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...

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Main Authors: Wujian Yang, Yining Cheng, Jie He, Wenqiong Hu, Xiaojia Lin
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2016/4076154
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spelling doaj-e90610ed197d4214aa8b782989f73cd62020-11-24T22:43:27ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472016-01-01201610.1155/2016/40761544076154Research on Community Competition and Adaptive Genetic Algorithm for Automatic Generation of Tang PoetryWujian Yang0Yining Cheng1Jie He2Wenqiong Hu3Xiaojia Lin4Department of Information Management, Zhejiang University City College, Hangzhou, Zhejiang 310015, ChinaDepartment of Information Management, Zhejiang University City College, Hangzhou, Zhejiang 310015, ChinaDepartment of Information Management, Zhejiang University City College, Hangzhou, Zhejiang 310015, ChinaDepartment of Information Management, Zhejiang University City College, Hangzhou, Zhejiang 310015, ChinaDepartment of Information Management, Zhejiang University City College, Hangzhou, Zhejiang 310015, ChinaAs 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.http://dx.doi.org/10.1155/2016/4076154
collection DOAJ
language English
format Article
sources DOAJ
author Wujian Yang
Yining Cheng
Jie He
Wenqiong Hu
Xiaojia Lin
spellingShingle Wujian Yang
Yining Cheng
Jie He
Wenqiong Hu
Xiaojia Lin
Research on Community Competition and Adaptive Genetic Algorithm for Automatic Generation of Tang Poetry
Mathematical Problems in Engineering
author_facet Wujian Yang
Yining Cheng
Jie He
Wenqiong Hu
Xiaojia Lin
author_sort Wujian Yang
title Research on Community Competition and Adaptive Genetic Algorithm for Automatic Generation of Tang Poetry
title_short Research on Community Competition and Adaptive Genetic Algorithm for Automatic Generation of Tang Poetry
title_full Research on Community Competition and Adaptive Genetic Algorithm for Automatic Generation of Tang Poetry
title_fullStr Research on Community Competition and Adaptive Genetic Algorithm for Automatic Generation of Tang Poetry
title_full_unstemmed Research on Community Competition and Adaptive Genetic Algorithm for Automatic Generation of Tang Poetry
title_sort research on community competition and adaptive genetic algorithm for automatic generation of tang poetry
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2016-01-01
description 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.
url http://dx.doi.org/10.1155/2016/4076154
work_keys_str_mv AT wujianyang researchoncommunitycompetitionandadaptivegeneticalgorithmforautomaticgenerationoftangpoetry
AT yiningcheng researchoncommunitycompetitionandadaptivegeneticalgorithmforautomaticgenerationoftangpoetry
AT jiehe researchoncommunitycompetitionandadaptivegeneticalgorithmforautomaticgenerationoftangpoetry
AT wenqionghu researchoncommunitycompetitionandadaptivegeneticalgorithmforautomaticgenerationoftangpoetry
AT xiaojialin researchoncommunitycompetitionandadaptivegeneticalgorithmforautomaticgenerationoftangpoetry
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