… the weighted fuzzy kernel-clustering algorithm (WFKCA) with adaptive differential evolution
… , and then the differential evolution algorithm (DE) is applied for the fuzzy clustering, thus to …

… This paper presents GIS-based new ensemble data mining techniques that involve an
adaptive neuro-fuzzy inference system (ANGIS) with genetic algorithm, differential evolution, and …

… To the best of our knowledge, differential, the evolution learning method, and fuzzy system
have not thoroughly been examined to simulate flow characteristics and thermal distribution …

… entropy strategy is able to measure the crowding degree of the solutions more accurately. In
addition, fuzzy … multi-objective differential evolution with elitist archive and crowding entropy-…

… entropy means that each value of the variable is about the same probability of occurrence,
low entropy … via standard mutual information, fuzzy mutual information measures have also …

… on fuzzy entropy have been proposed. However, in this chapter are examined only the
classical fuzzy entropy and the type II fuzzy entropy. … of fuzzy entropy and type II fuzzy entropy. …

… In the literature, there are several entropy-based thresholding methods. These are classified
… to [12] as entropic thresholding (ET), fuzzy entropic thresholding (FET) and cross-entropic …

… Differential evolution (DE) is a popular evolutionary algorithm inspired by Darwin’s theory
of evolution and has been studied extensively to solve different areas of optimisation and …

… , we propose a fuzzy neighborhood-based differential evolution with orientation (FNODE). …
fuzzy neighborhood, where the sub-populations are generated according to the fuzzy rule and …

… , we propose an evolutionary search approach by integrating … both differential evolution and
dynamic differential evolution. Then, the proposed method is applied to both weighted fuzzy c…