We are trying to piece together the knowledge of evolution with the help of biology, informatics and physics to create complex evolutionary algorithms with parallel and hierarchic...
A fuzzy controller is usually designed by formulating the knowledge of a human expert into a set of linguistic variables and fuzzy rules. One of the most successful methods to auto...
Fuzzy Logic has proved to be a very powerful technique in the discipline of system control. A Fuzzy Logic Controller is defined by a collection of fuzzy if-then rules and a set of...
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
This work discusses the use of an Evolvable Hardware (EHW) platform in the synthesis of analog electronic circuits for Fuzzy Logic Controllers. A Fuzzy Logic Controller (FLC) is d...