๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

A cascaded genetic algorithm for improving fuzzy-system design

โœ Scribed by Henning Heider; Thorsten Drabe

Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
823 KB
Volume
17
Category
Article
ISSN
0888-613X

No coin nor oath required. For personal study only.

โœฆ Synopsis

We present a cascaded genetic algorithm which automatically generates high-performance fuzzy systems with a minimal number of fuzzy sets and rules. Such a tool is especially useful for complex systems which can no longer be designed and optimized manually. The cascade technique is tested on a fuzzy controller design task. Experimental results show that the proposed algorithm yields considerably better results than a conventional genetic algorithm.

๐Ÿ“œ SIMILAR VOLUMES

Real-valued genetic algorithms for fuzzy
Real-valued genetic algorithms for fuzzy grey prediction system
โœ Yo-Ping Huang; Chih-Hsin Huang ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 807 KB

A genetic-based fuzzy grey prediction model is proposed in this paper. Instead of working on the conventional bit by bit operation, both the crossover and mutation operators are real-valued handled by the presented algorithms. To prevent the system from turning into a premature problem, we select th

Genetic algorithms based fuzzy controlle
Genetic algorithms based fuzzy controller for high order systems
โœ X.M. Qi; T.C. Chin ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 389 KB

This paper presents a fuzzy control algorithm for high order processes. The algorithm includes design of a basic fuzzy controller with its rule definition based on the qualitative reasoning in the phase plane and an incremental controller with the purpose to correspond with the order of the process.