Towards Industrial Strength Automated Design of Analog Electrical Circuits by Means of Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @InCollection{koza:2004:GPTP,
-
author = "John R. Koza and Lee W. Jones and Martin A. Keane and
Matthew J. Streeter",
-
title = "Towards Industrial Strength Automated Design of Analog
Electrical Circuits by Means of Genetic Programming",
-
booktitle = "Genetic Programming Theory and Practice {II}",
-
year = "2004",
-
editor = "Una-May O'Reilly and Tina Yu and Rick L. Riolo and
Bill Worzel",
-
chapter = "8",
-
pages = "121--142",
-
address = "Ann Arbor",
-
month = "13-15 " # may,
-
publisher = "Springer",
-
note = "pages missing?",
-
keywords = "genetic algorithms, genetic programming, Automated
design, automated circuit synthesis, analog circuits,
amplifier, evolvable hardware, developmental process",
-
ISBN = "0-387-23253-2",
-
URL = "http://www.genetic-programming.com/gptp2004.pdf",
-
DOI = "doi:10.1007/0-387-23254-0_8",
-
size = "22 pages",
-
abstract = "It has been previously established that genetic
programming can be used as an automated invention
machine to synthesise designs for complex structures.
In particular, genetic programming has automatically
synthesized structures that infringe, improve upon, or
duplicate the functionality of 21 previously patented
inventions (including six 21st-century patented analog
electrical circuits) and has also generated two
patentable new inventions (controllers). There are
seven promising factors suggesting that these previous
results can be extended to deliver industrial-strength
automated design of analog circuits, but two
countervailing factors. This chapter explores the
question of whether the seven promising factors can
overcome the two countervailing factors by reviewing
progress on an ongoing project in which we are
employing genetic programming to synthesise an
amplifier circuit. The work involves a multiobjective
fitness measure consisting of 16 different elements
measured by five different test fixtures. The chapter
describes five ways of using general domain knowledge
applicable to all analog circuits, two ways for
employing problem-specific knowledge, four ways of
improving on previously published genetic programming
techniques, and four ways of grappling with the
multiobjective fitness measures associated with
real-world design problems.",
-
notes = "part of \cite{oreilly:2004:GPTP2}",
- }
Genetic Programming entries for
John Koza
Lee W Jones
Martin A Keane
Matthew J Streeter
Citations