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Improvement to the cooperative rules methodology by using the ant colony system algorithm.

Rafael Alcalá;  Jorge Casillas;  Oscar Cordón;  Francisco Herrera — 2001

Mathware and Soft Computing

The cooperative rules (COR) methodology [2] is based on a combinatorial search of cooperative rules performed over a set of previously generated candidate rule consequents. It obtains accurate models preserving the highest interpretability of the linguistic fuzzy rule-based systems. Once the good behavior of the COR methodology has been proven in previous works, this contribution focuses on developing the process with a novel kind of metaheuristic algorithm: the ant colony system one. Thanks to...

A multicriteria genetic tuning for fuzzy logic controllers.

Rafael Alcalá;  Jorge Casillas;  Juan Luis Castro;  Antonio González;  Francisco Herrera — 2001

Mathware and Soft Computing

This paper presents the use of genetic algorithms to develop smartly tuned fuzzy logic controllers in multicriteria complex problems. This tuning approach has some specific restrictions that make it very particular and complex because of the large time requirements existing due to the need of considering multiple criteria -which enlarges the solution search space-, and to the long computation time models usually used for fitness assessment. To solve these restrictions, two efficient genetic tuning...

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