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

•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 res...

Full description

Saved in:
Bibliographic Details
Published in:Expert systems with applications 2014-03, Vol.41 (4), p.2035-2042
Main Authors: Donis-Díaz, C.A., Muro, A.G., Bello-Pérez, R., Morales, E.V.
Format: Article
Language:English
Subjects:
Algorithmics. Computability. Computer arithmetics
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Creep (materials)
Creep rupture stress
Data mining
Data processing
Data processing. List processing. Character string processing
Exact sciences and technology
Expert systems
Fitness
Fracture mechanics (crack, fatigue, damage...)
Fundamental areas of phenomenology (including applications)
Fuzzy logic
Genetic algorithms
Linguistic data summarization
Linguistics
Memory organisation. Data processing
Physics
Searching
Software
Solid mechanics
Speech and sound recognition and synthesis. Linguistics
Structural and continuum mechanics
Summaries
Theoretical computing
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:•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. A hybrid model of Genetic Algorithm (GA) with local search to discover linguistic summaries and its application into the creep data analysis is proposed in this paper. Two specifics operator and a called Diversity term in the fitness function are introduced by the model to guarantees summaries with high quality and a wide range of information respectively. The experiments show that the hybrid model improves the results compared to those obtained using the classical model of GA. The quality of the summaries was verified by the interpretation of some of them from the theoretical point of view.
ISSN:0957-4174
1873-6793
DOI:10.1016/j.eswa.2013.09.002