Authors:
P. H. G. Coelho
;
J. M. do Amaral
;
Y. Bacelar
;
E. N. Da Rocha
and
M. Bentes
Affiliation:
State Univ. of Rio de Janeiro, FEN/DETEL, R. S. Francisco Xavier,524/Sala 5001E, Maracanã, RJ,20550-900, Brazil
Keyword(s):
Fuzzy Systems, Genetic Algorithms, Artificial Intelligence Applications, Evolutionary Electronics.
Abstract:
Recent research advances in fuzzy systems applications as controllers of increasingly complex systems motivate the consideration of analog circuits capable of implementing fuzzy logic. The purpose of this paper is to evolve the component values of known topologies of analog circuits to generate membership functions. In order to accomplish that, a hybrid model is used for the evolution of electronic circuits, based on genetic algorithms, using a fuzzy system to evaluate multiple objectives. The traditional fitness assessment of genetic algorithms is modified, so that a fuzzy system is effectively responsible for the assessment, thus being able to aggregate the different objectives of the electronic design and generating a fitness value for each circuit in the population. The proposed model presents a simpler and more interpretable way of inserting preferences and specifications, as it uses fuzzy logic. Such specifications are inserted before the evolution of the circuit, ensuring that
it is guided in the desired direction, preventing the designer from having to choose the most appropriate solution at the end of the process. An implementation based purely on simulation of circuit models was chosen, providing a flexible environment.
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