Tuning and optimisation of membership functions of fuzzy logic controllers by genetic algorithms

M. Mohammadian, R. J. Stonier

Research output: A Conference proceeding or a Chapter in BookConference contribution

18 Citations (Scopus)
1 Downloads (Pure)

Abstract

A method is developed to tune and optimise the membership functions of Fuzzy Logic Controllers (FLC) by using Genetic Algorithms (GAs). The set of fuzzy If-Then rules and their membership functions of the truck back-upper problem is considered.

Original languageEnglish
Title of host publicationProceedings of 1994 3rd IEEE International Workshop on Robot and Human Communication
Place of PublicationPiscataway NJ, USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages356-361
Number of pages6
ISBN (Electronic)0780320034
ISBN (Print)07780320026
DOIs
Publication statusPublished - 1994
Externally publishedYes
Event3rd IEEE International Workshop on Robot and Human Communication - Nagoya, Japan
Duration: 18 Jul 199420 Jul 1994

Conference

Conference3rd IEEE International Workshop on Robot and Human Communication
Abbreviated titleRo-Man
CountryJapan
CityNagoya
Period18/07/9420/07/94

Fingerprint Dive into the research topics of 'Tuning and optimisation of membership functions of fuzzy logic controllers by genetic algorithms'. Together they form a unique fingerprint.

  • Cite this

    Mohammadian, M., & Stonier, R. J. (1994). Tuning and optimisation of membership functions of fuzzy logic controllers by genetic algorithms. In Proceedings of 1994 3rd IEEE International Workshop on Robot and Human Communication (pp. 356-361). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ROMAN.1994.365903