Adaptive Fuzzy Logic Systems trained by genetic evolution of their parameters are presented in this work. This technique is based on the aggregation of parameter perturbations. Neither the evaluation function nor the membership functions, have to be differentiable as required in most optimization techniques. In the classical Genetic Algorithms, the solution space of each parameter should be spe...

s In optimization, when the genetic algorithm fails to find the global optimum, the problem is often credited to premature convergence. Premature convergence is influenced by different parameters. One of the important parameters is diversity population. In this study, we use a novel method to keep diversity in population. A new technique for choosing the female chromosome during sexual selectio...

In this paper, we describe the application of an adaptive fuzzy clustering algorithm to the segmentation of colour biomedical images. In comparison to traditional colour image segmentation algorithms, the advantage of this algorithm is intelligent location of a range of chosen colours (ROC) based on a manually selected reference colour. The colours within the ROC have similar colour properties ...

Black-Hole and Gray-Hole attack considers two of the most affected kind of attacks on the Mobile Ad-Hoc Network (MANET). Therefore, the use of intrusion detection system (IDS) has a major importance in the MANET protection. In this paper, a proposed optimized fuzzy based intrusion detection system is presented with an automation process of producing a fuzzy system by using an Adaptive Neuro-Fuz...

An automatic method to generate fuzzy rules and their membership functions to recognize handwritten characters is described. Firstly an initial rule base is created on the basis of a referential data set containing handwriting prototypes. Subsequently the classification behavior of the fuzzy rules is optimized with a genetic algorithm, which is regarded as a typical solution to NP-complete prob...

This paper develops an automatic parking algorithm based on a fuzzy logic controller with the vehicle pose for the input and the steering angle for the output. In this way some feasible reference trajectory path have been introduced according to geometric and kinematic constraints and nonholonomic constraints to simulate motion path of car. Also a novel method is used for parking space detec...

The Fuzzy Adaptive Neighborhood Search (FANS) method was previously presented and succesfully compared against a genetic algorithm and simulated annealing doing minimization of functions in Rn. Here we propose to evaluate FANS on instances of knapsack with multiple restrictions problems, making comparison against the cited algorithms in order to gain knowledge about the behaviour of our method.

Cancer research is one of the major research areas in the medical field. Adaptive Neuro Fuzzy Interference System is used for the classification of Cancer. This algorithm compared with proposed algorithm of Adaptive Neuro Fuzzy Interference system with Runge Kutta learning method for the best classification of cancer. It is one of the better techniques for the classification of the cancer. The ...