The design problem of a fuzzy logic control system is equivalent to a multi-modal multi-dimensional optimisation problem. In the context of optimal designs, such a design problem is usually “unsolvable” by analytical or conventional numerical means. This Chapter develops a genetic algorithm based soft computing paradigm for design automation, which efficiently reveals optimised system parameters and structures in a uniform manner without compromising to a fixed architecture
Design of fuzzy logic controllers encounters difficulties in the selection of optimized membership f...
Evolutionary development of a fuzzy-logic controller is described and is evaluated in the context of...
This paper presents the use of genetic algorithms to develop smartly tuned fuzzy logic controllers i...
The design problem of a fuzzy logic control system is equivalent to a multi-modal multi-dimensiona...
This thesis examines the utility of fuzzy logic in the field of control engineering. A tutorial intr...
This thesis describes the use of the genetic algorithm to facilitate the design process of a fuzzy l...
The design of a fuzzy controller suffers from choice problems of fuzzy input and output membership f...
The theme of this research focuses on design, analysis and applications of a new type of hybrid fuzz...
This paper provides an overview on evolutionary learning methods for the automated design and optimi...
[15, 170, 31 leaves] : ill. ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577P EE 2000 ChanIn recent ...
10th International Conference on Electrical and Electronics Engineering, ELECO 2017 -- 29 November 2...
With the availability of a wide range of Evolutionary Algorithms such as Genetic Algorithms, Evo-lut...
The design of fuzzy logic controllers encounters difficulties in the selection of optimized membersh...
[[abstract]]A multituning fuzzy control system structure that involves two simple, but effective tun...
[[abstract]]The paper presents an optimal fuzzy logic controller design using efficient robust optim...
Design of fuzzy logic controllers encounters difficulties in the selection of optimized membership f...
Evolutionary development of a fuzzy-logic controller is described and is evaluated in the context of...
This paper presents the use of genetic algorithms to develop smartly tuned fuzzy logic controllers i...
The design problem of a fuzzy logic control system is equivalent to a multi-modal multi-dimensiona...
This thesis examines the utility of fuzzy logic in the field of control engineering. A tutorial intr...
This thesis describes the use of the genetic algorithm to facilitate the design process of a fuzzy l...
The design of a fuzzy controller suffers from choice problems of fuzzy input and output membership f...
The theme of this research focuses on design, analysis and applications of a new type of hybrid fuzz...
This paper provides an overview on evolutionary learning methods for the automated design and optimi...
[15, 170, 31 leaves] : ill. ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577P EE 2000 ChanIn recent ...
10th International Conference on Electrical and Electronics Engineering, ELECO 2017 -- 29 November 2...
With the availability of a wide range of Evolutionary Algorithms such as Genetic Algorithms, Evo-lut...
The design of fuzzy logic controllers encounters difficulties in the selection of optimized membersh...
[[abstract]]A multituning fuzzy control system structure that involves two simple, but effective tun...
[[abstract]]The paper presents an optimal fuzzy logic controller design using efficient robust optim...
Design of fuzzy logic controllers encounters difficulties in the selection of optimized membership f...
Evolutionary development of a fuzzy-logic controller is described and is evaluated in the context of...
This paper presents the use of genetic algorithms to develop smartly tuned fuzzy logic controllers i...