International audienceThis paper proposes a new method to design a fuzzy logic controller by genetic algorithms (GAs). The basic idea of this new methodology is to use a new way to mutate the chromosome. Bio-process control problem is used to compare the proposed mutation to traditional mutation. The results show that the proposed mutation efficiently improves GA's performance
[[abstract]]The paper presents an optimal fuzzy logic controller design using efficient robust optim...
The design of a fuzzy controller suffers from choice problems of fuzzy input and output membership f...
We propose to use an approach based on fuzzy logic for the adaptation of gap generation and mutation...
International audienceThis paper proposes a new method to design a fuzzy logic controller by genetic...
International audienceThis work proposes a new design method of fuzzy controllers with well-formed m...
International audienceThis work proposes a new design method of fuzzy controllers with well-formed m...
This thesis describes the use of the genetic algorithm to facilitate the design process of a fuzzy l...
Designing a fuzzy system involves defining membership functions and constructing rules. Carrying out...
Abstract. Objective. This article studies the problem of increasing the efficiency of fuzzy controll...
Several researchers have proposed methods about combination of Genetic Algorithm (GA) and Fuzzy Logi...
In this paper, we present three novel techniques for enhancing the power of a genetic algorithm (GA)...
[[abstract]]This paper proposes a genetic algorithm (GA) approach to design a multistage fuzzy logic...
The design of fuzzy logic controllers encounters difficulties in the selection of optimized membersh...
"The research described in the report is two-fold. First, the basic approach to developing a fuzzy l...
The design of fuzzy logic controllers encounters difficulties in the selection of optimized membersh...
[[abstract]]The paper presents an optimal fuzzy logic controller design using efficient robust optim...
The design of a fuzzy controller suffers from choice problems of fuzzy input and output membership f...
We propose to use an approach based on fuzzy logic for the adaptation of gap generation and mutation...
International audienceThis paper proposes a new method to design a fuzzy logic controller by genetic...
International audienceThis work proposes a new design method of fuzzy controllers with well-formed m...
International audienceThis work proposes a new design method of fuzzy controllers with well-formed m...
This thesis describes the use of the genetic algorithm to facilitate the design process of a fuzzy l...
Designing a fuzzy system involves defining membership functions and constructing rules. Carrying out...
Abstract. Objective. This article studies the problem of increasing the efficiency of fuzzy controll...
Several researchers have proposed methods about combination of Genetic Algorithm (GA) and Fuzzy Logi...
In this paper, we present three novel techniques for enhancing the power of a genetic algorithm (GA)...
[[abstract]]This paper proposes a genetic algorithm (GA) approach to design a multistage fuzzy logic...
The design of fuzzy logic controllers encounters difficulties in the selection of optimized membersh...
"The research described in the report is two-fold. First, the basic approach to developing a fuzzy l...
The design of fuzzy logic controllers encounters difficulties in the selection of optimized membersh...
[[abstract]]The paper presents an optimal fuzzy logic controller design using efficient robust optim...
The design of a fuzzy controller suffers from choice problems of fuzzy input and output membership f...
We propose to use an approach based on fuzzy logic for the adaptation of gap generation and mutation...