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

Authors:
C. A. Donis-Díaz;A. G. Muro;R. Bello-Pérez;E. V. Morales
Affiliations:
Informatics Studies Center, Universidad Central Marta Abreu de Las Villas, C. Camajuaní, km 51/2, CP 54830, Villa Clara, Cuba;Informatics Studies Center, Universidad Central Marta Abreu de Las Villas, C. Camajuaní, km 51/2, CP 54830, Villa Clara, Cuba;Informatics Studies Center, Universidad Central Marta Abreu de Las Villas, C. Camajuaní, km 51/2, CP 54830, Villa Clara, Cuba;Physics Dept., Universidad Central Marta Abreu de Las Villas, Cuba
Venue:
Expert Systems with Applications: An International Journal
Year:
2014

Citing 8
Cited 1

Adaptation in natural and artificial systems

Adaptation in natural and artificial systems
Gradual inference rules in approximate reasoning

Information Sciences: an International Journal
Finding fuzzy and gradual functional dependencies with SummarySQL

Fuzzy Sets and Systems
SAINTETIQ: a fuzzy set-based approach to database summarization

Fuzzy Sets and Systems - Data bases and approximate reasoning
Artificial Intelligence: A Modern Approach

Artificial Intelligence: A Modern Approach
Linguistic database summaries and their protoforms: towards natural language based knowledge discovery tools

Information Sciences: an International Journal
Towards human friendly data mining: linguistic data summaries and their protoforms

ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
A multi-objective memetic algorithm for the linguistic summarization of time series

Proceedings of the 13th annual conference companion on Genetic and evolutionary computation

Optimizing parameters of support vector machine using fast messy genetic algorithm for dispute classification

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	12.05

Visualization

Abstract

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.