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Darwin: Analogue circuit synthesis based on genetic algorithms
Author(s) -
Kruiskamp Wim,
Leenaerts Domine
Publication year - 1995
Publication title -
international journal of circuit theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.364
H-Index - 52
eISSN - 1097-007X
pISSN - 0098-9886
DOI - 10.1002/cta.4490230404
Subject(s) - crossover , algorithm , electronic circuit , computer science , genetic algorithm , set (abstract data type) , darwin (adl) , population , process (computing) , circuit design , topology (electrical circuits) , engineering , electrical engineering , artificial intelligence , embedded system , machine learning , software engineering , demography , sociology , programming language , operating system
DARWIN is a synthesis tool for generating sized net lists of CMOS op amps from performance specifications and process parameters. the synthesis process starts with an initial set of randomly generated op amps. Owing to genetic operator ‘crossover’ and ‘mutation’, the population of op amps evolves to a population in which several op amps meet the required specifications. During the synthesis process the circuit topology and circuit parameters (capacitor values, bias currents and transistor lengths and widths) evolve simultaneously with the final solution. the circuit description we use in the genetic algorithm ensures that all intermediately generated circuits possess a number of qualities that are required for a correct functioning of the circuit. Synthesis experiments have shown that DARWIN is capable of synthesizing functional circuits without the need of much design knowledge.