Fuzzy Genetic Algorithms

Fuzzy Systems ◽  
1998 ◽  
pp. 403-459 ◽  
Author(s):  
Andreas Geyer-Schulz
Keyword(s):  
Genetic Algorithms ◽  
Fuzzy Genetic

Complex Excitation Antenna Array Synthesis Using Fuzzy Genetic Algorithms

2009 ◽  
Vol 68 (2) ◽  
pp. 93-107
Author(s):  
B. Kadri ◽  
F. T. Bendimered
Keyword(s):  
Genetic Algorithms ◽  
Antenna Array ◽  
Fuzzy Genetic ◽  
Antenna Array Synthesis

Fuzzy Genetic Algorithms for Pairs Mining

2006 ◽  
pp. 711-720 ◽  
Author(s):  
Longbing Cao ◽  
Dan Luo ◽  
Chengqi Zhang
Keyword(s):  
Genetic Algorithms ◽  
Fuzzy Genetic

Knowledge-Based Automatic Fault Detection in Flight Control System

2007 ◽  
Author(s):  
C. H. Lo ◽  
Eric H. K. Fung ◽  
Y. K. Wong
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Control System ◽  
Fault Detection ◽  
Flight Control ◽  
Detection System ◽  
Flight Control System ◽  
Actuator Failure ◽  
Fuzzy Genetic Algorithm ◽  
Fuzzy Genetic

There are various possible failures, like, actuator, sensor, or structural, which can occur on a sophisticated modern aircraft. In certain situations the need for an automatic fault detection system provides additional information about the status of the aircraft to assist pilots to compensate for failures. In this paper, we develop an intelligent technique based on fuzzy-genetic algorithm for automatically detecting failures in flight control system. The fuzzy-genetic algorithm is proposed to construct the automatic fault detection system for monitoring aircraft behaviors. Fuzzy system is employed to estimates the times and types of actuator failure. Genetic algorithms are used to generate an optimal fuzzy rule set based on the training data. The optimization capability of genetic algorithms provides and efficient and effective way to generate optimal fuzzy rules. Different types of actuator failure can be detected by the fuzzy-genetic algorithm based automatic fault detection system after tuning its rule table. Simulations with different actuator failures of the non-linear F-16 aircraft model are conducted to appraise the performance of the proposed automatic fault detection system.

An Approach to DSRRouting QOS by Fuzzy-Genetic Algorithms[

2014 ◽  
Vol 6 (2) ◽  
pp. 89-100
Author(s):  
Sara Aliabadi ◽  
Mehdi Agha Saram
Keyword(s):  
Genetic Algorithms ◽  
Fuzzy Genetic

Image attachment using fuzzy-genetic algorithms

2005 ◽  
Author(s):  
B. Resko ◽  
P. Korondi ◽  
Z. Petres ◽  
J.F. Bourges ◽  
H. Hashimoto
Keyword(s):  
Genetic Algorithms ◽  
Fuzzy Genetic

Fuzzy genetic algorithms for floorplanning

1997 ◽  
Author(s):  
Eugene B. Shragowitz ◽  
Habib Youssef ◽  
Sadiq M. Sait ◽  
Hakim Adiche
Keyword(s):  
Genetic Algorithms ◽  
Fuzzy Genetic
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