On the Theory of Designing Circuits using Genetic Programming and a Minimum of Domain Knowledge
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{andre:1998:tdcGPmdk,
-
author = "David Andre and Forrest H {Bennett III} and
John Koza and Martin A. Keane",
-
title = "On the Theory of Designing Circuits using Genetic
Programming and a Minimum of Domain Knowledge",
-
booktitle = "Proceedings of the 1998 IEEE World Congress on
Computational Intelligence",
-
year = "1998",
-
pages = "130--135",
-
address = "Anchorage, Alaska, USA",
-
month = "5-9 " # may,
-
publisher = "IEEE Press",
-
keywords = "genetic algorithms, genetic programming, amplifiers,
analog circuit design, circuit evolution, computational
circuits, embryonic circuit elimination, filters,
knowledge representation, minimal domain knowledge,
problem-specific knowledge, analogue circuits, circuit
CAD, circuit optimisation, intelligent design
assistants, knowledge representation, programming",
-
ISBN = "0-7803-4869-9",
-
file = "c023.pdf",
-
URL = "http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=00699489",
-
DOI = "doi:10.1109/ICEC.1998.699489",
-
size = "6 pages",
-
abstract = "The problem of analog circuit design is a difficult
problem that is generally viewed as requiring human
intelligence to solve. Considerable progress has been
made in automating the design of certain categories of
purely digital circuits; however, the design of analog
electrical circuits and mixed analog-digital circuits
has not proved to be as amenable to automation. When
critical analog circuits are required for a project,
skilled and highly trained experts are necessary.
Previous work on applying genetic programming to the
design of analog circuits has proved to be successful
at evolving a wide variety of circuits, including
filters, amplifiers, and computational circuits;
however, previous approaches have required the
specification of an appropriate embryonic circuit. This
paper explores a method to eliminate even this small
amount of problem specific knowledge, and, in addition,
proves that the representation used is capable of
producing all circuits.",
-
notes = "ICEC-98 Held In Conjunction With WCCI-98 --- 1998 IEEE
World Congress on Computational Intelligence",
- }
Genetic Programming entries for
David Andre
Forrest Bennett
John Koza
Martin A Keane
Citations