- author = "J. B. Grimbleby",
- title = "Automatic analogue circuit synthesis using genetic algorithms",
- journal = "IEE Proceedings - Circuits, Devices and Systems",
- year = "2000",
- volume = "147",
- number = "6",
- pages = "319--323",
- month = dec,
- keywords = "genetic algorithms, genetic programming",
- ISSN = "1350-2409",
- publisher = "IET",
-
URL = "
https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=728229e95b2f8a622ad99511d5f46dd515d6e52d",
-
DOI = "
10.1049/ip-cds:20000770",
- size = "5 pages",
- abstract = "Most analogue systems are designed manually because automatic circuit synthesis tools are available for only a limited range of design problems. A new approach to circuit synthesis based on genetic algorithms is presented. Using this method it is possible in principle to synthesise circuits to meet any linear or nonlinear, frequency-domain or time-domain, specification. When applied to existing filter design problems this circuit synthesis method produces design solutions that are more efficient than those resulting from formal design methods or created manually by an experienced analogue circuit designer",
-
notes = "Nielsen filter.
GA used to evolve circuit topology. Variable length comes from allowing parts of the fixed length chromosome to be empty.
page 320 'This hybrid approach using a GA to select a suitable topology and numerical optimisation to choose component values is likely to be more efficient than using a GA or GP to perform both functions.'
See also \cite{grimbleby:1995:}
Electronic Engineering Group, The University of Reading, Reading, United Kingdom",
