Title :
Adjacency matrix representation in evolutionary circuit synthesis
Author_Institution :
Eletrical Eng. Departament, Fed. Univ. of Rio de Janeiro, Brazil
Abstract :
Summary form only given. An analog circuit synthesis method based on evolutionary circuit techniques is proposed where the chromosome in the genetic algorithm is coded through the use of adjacency matrices. The method assumes that the circuit is described at the behavioral level in order to reduce the simulation time. It is shown that adjacency matrices coding of the chromosome reduces considerably the number of anomalous circuits generated by the genetic algorithm operations. Moreover, the proposed representation enables one to easily implement selection criteria to control the topological properties of the circuit.
Keywords :
analogue circuits; encoding; genetic algorithms; matrix algebra; network synthesis; network topology; analog circuit synthesis; chromosome coding; circuit topology; crossover; evolutionary circuit synthesis; genetic algorithm; graph adjacency matrix; mutation; Analog circuits; Biological cells; Circuit simulation; Circuit synthesis; Circuit topology; Genetic algorithms; Genetic engineering; Genetic mutations; Hardware; High level synthesis;
Conference_Titel :
Neural Networks, 2002. SBRN 2002. Proceedings. VII Brazilian Symposium on
Print_ISBN :
0-7695-1709-9
DOI :
10.1109/SBRN.2002.1181469
