This paper presents the geometric defuzzifier for generalised type-2 fuzzy sets. This defuzzifier can be executed in real-time and can therefore be applied to control and other rea...
AiNet is an immune-inspired algorithm for data compression, i.e. the reduction of redundancy in data sets. In this paper we investigate the compression quality of aiNet. Therefore,...
Abstract-- The dual notions of discernibility and indiscernibility play an important role in intelligent data analysis. While discernibility focuses on the differences, the indisce...
A large body of research has investigated the advantages of combining phenotype adaptation and genotype adaptation. The hybridization of genetic search and local search methods, of...
Immune Algorithms have been used widely and successfully in many computational intelligence areas including optimization. Given the large number of variants of each operator of thi...
Vincenzo Cutello, Giuseppe Nicosia, Mario Romeo, P...
— The concept of degeneracy in biology, including the immune system, is well accepted and has been demonstrated to be present at many different levels. We explore this concept fr...
Miguel Mendao, Jonathan Timmis, Paul S. Andrews, M...
— The exchange Monte Carlo method was proposed as an improved algorithm of Markov Chain Monte Carlo method and its effectiveness has been shown in many fields. In the exchange M...
Abstract— This paper presents a new development of selforganizing maps (SOM), realized by combining them with the idea of a modular network. This we called a modular network SOM ...