Comparative analysis of differential evolution methods to optimize parameters of fuzzy classifiers

DOI10.1134/S1064230717040116zbMath1385.93074OpenAlexW2751716344MaRDI QIDQ1745855

M. A. Mekh, I. A. Hodashinsky

Publication date: 18 April 2018

Published in: Journal of Computer and Systems Sciences International (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s1064230717040116

zbMATH Keywords

fuzzy classifiersdifferential evolution method

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Stochastic systems in control theory (general) (93E03) Data structures (68P05)

Related Items (3)

Binarization of the swallow swarm optimization for feature selection ⋮ Methods for improving the efficiency of swarm optimization algorithms. A survey ⋮ Feature selection for classification through population random search with memory

Uses Software

• DeMat

Cites Work

• Advances in differential evolution
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• The system-matched hold and the intermittent control separation principle
• Supervised fuzzy clustering for the identification of fuzzy classifiers
• Unnamed Item

This page was built for publication: Comparative analysis of differential evolution methods to optimize parameters of fuzzy classifiers