A hybrid model of genetic algorithm with local search to discover linguistic data summaries from creep data

作者：

Highlights：

• A hybrid model of genetic algorithm with local search to discover linguistic summaries is proposed.

• Specific operators and fitness function for the genetic algorithm were proposed.

• The proposed model improve the search of linguistic summaries on creep data compared with the classical model.

• The results were validated through the physical interpretation of some obtained summaries.

摘要

•A hybrid model of genetic algorithm with local search to discover linguistic summaries is proposed.•Specific operators and fitness function for the genetic algorithm were proposed.•The proposed model improve the search of linguistic summaries on creep data compared with the classical model.•The results were validated through the physical interpretation of some obtained summaries.

论文关键词：Genetic algorithms,Linguistic data summarization,Creep rupture stress,Data mining,Fuzzy logic

论文评审过程：Available online 13 September 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.09.002