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Mathematical Problems in Engineering
Volume 2016 (2016), Article ID 4076154, 7 pages
Research Article

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

Department of Information Management, Zhejiang University City College, Hangzhou, Zhejiang 310015, China

Received 14 December 2015; Revised 8 March 2016; Accepted 21 March 2016

Academic Editor: Reza Jazar

Copyright © 2016 Wujian Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.