✦ LIBER ✦

hGA: Hybrid genetic algorithm in fuzzy rule-based classification systems for high-dimensional problems

✍ Scribed by Emel Kızılkaya Aydogan; Ismail Karaoglan; Panos M. Pardalos

Book ID: 113470840
Publisher: Elsevier Science
Year: 2012
Tongue: English
Weight: 379 KB
Volume: 12
Category: Article
ISSN: 1568-4946
DOI: 10.1016/j.asoc.2011.10.010

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A Fuzzy Association Rule-Based Classific

A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning

✍ Alcala-Fdez, J.; Alcala, R.; Herrera, F. 📂 Article 📅 2011 🏛 IEEE 🌐 English ⚖ 929 KB

Hybridizing genetic algorithms with shar

Hybridizing genetic algorithms with sharing scheme and evolution strategies for designing approximate fuzzy rule-based systems

✍ O. Cordón; F. Herrera 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 239 KB

Genetic algorithms and evolution strategies are combined in order to build a multi-stage hybrid evolutionary algorithm for learning constrained approximate Mamdani-type knowledge bases from examples. The genetic algorithm niche concept is used in two of the three stages composing the learning proces