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综合的并行搜索策略及其在剩余静校正中的应用
引用本文:尹成,周熙襄,钟本善,江玉乐,何昌礼.综合的并行搜索策略及其在剩余静校正中的应用[J].成都理工大学学报(自然科学版),1997(2).
作者姓名:尹成  周熙襄  钟本善  江玉乐  何昌礼
作者单位:成都理工学院信息工程与应用地球物理系
摘    要:文章以并行遗传算法为基础,根据生物遗传规律的特点,综合多种杂交方式和生物遗传技术(共享技术、受限交配、灾变等),提出了一种综合的并行搜索策略,用以克服遗传算法的早熟收敛现象,提高遗传寻优的效率。通过对剩余静校正估计的模型试验,其结果比常规的单一遗传算法有明显的改善,能够更有效地接近于真正的最优解。

关 键 词:遗传算法,并行搜索策略,早熟收敛,剩余静校正

HYBRID PARALLEL SEARCH STRATEGIES AND THEIR APPLICATIONS TO RESIDUAL STATICS
Yin Cheng,Zhou Xixiang,Zhong Benshan,Jiang Yule,He Changli.HYBRID PARALLEL SEARCH STRATEGIES AND THEIR APPLICATIONS TO RESIDUAL STATICS[J].Journal of Chengdu University of Technology: Sci & Technol Ed,1997(2).
Authors:Yin Cheng  Zhou Xixiang  Zhong Benshan  Jiang Yule  He Changli
Abstract:In this paper, a hybrid parallel search strategy is proposed on the basis of parallel genetic algorithm. The strategy combines with a variety of crossover schemes and a new technology with the character of genetic low of biology. In a sense, it can eliminate premature convergence and enhance the searching efficiency of genetic algorithm. Through testing residual statics estimation, the result is obvoiusly improved compared with the conventional single genetic algorithm.
Keywords:genetic algotithm  hybrid parallel  search strategy  premature convengence  residual statics  
本文献已被 CNKI 等数据库收录!
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