In a previous work it was argued that by studying
evolved designs of gradually increasing scale, one
might be able to discern new, efficient, and
generalisable principles of design. These ideas are
tested in the context of designing digital circuits,
particularly arithmetic circuits. This process of
discovery is seen as a principle extraction loop in
which the evolved data is analysed both phenotypically
and genotypically by processes of data mining and
landscape analysis. The information extracted is then
fed back into the evolutionary algorithm to enhance its
search capabilities and hence increase the likelihood
of identifying new principles which explain how to
build systems which are too large to evolve.
%0 Journal Article
%1 miller:2000:peddg2
%A Miller, Julian F.
%A Job, Dominic
%A Vassilev, Vesselin K.
%D 2000
%J Genetic Programming and Evolvable Machines
%K algorithms, based case circuit circuits, computing, design, digital evolutionary evolvable extraction fitness genetic hardware, landscapes, principle programming, reasoning,
%N 3
%P 259--288
%R doi:10.1023/A:1010066330916
%T Principles in the Evolutionary Design of Digital
Circuits-Part II
%V 1
%X In a previous work it was argued that by studying
evolved designs of gradually increasing scale, one
might be able to discern new, efficient, and
generalisable principles of design. These ideas are
tested in the context of designing digital circuits,
particularly arithmetic circuits. This process of
discovery is seen as a principle extraction loop in
which the evolved data is analysed both phenotypically
and genotypically by processes of data mining and
landscape analysis. The information extracted is then
fed back into the evolutionary algorithm to enhance its
search capabilities and hence increase the likelihood
of identifying new principles which explain how to
build systems which are too large to evolve.
@article{miller:2000:peddg2,
abstract = {In a previous work it was argued that by studying
evolved designs of gradually increasing scale, one
might be able to discern new, efficient, and
generalisable principles of design. These ideas are
tested in the context of designing digital circuits,
particularly arithmetic circuits. This process of
discovery is seen as a principle extraction loop in
which the evolved data is analysed both phenotypically
and genotypically by processes of data mining and
landscape analysis. The information extracted is then
fed back into the evolutionary algorithm to enhance its
search capabilities and hence increase the likelihood
of identifying new principles which explain how to
build systems which are too large to evolve.},
added-at = {2008-06-19T17:46:40.000+0200},
author = {Miller, Julian F. and Job, Dominic and Vassilev, Vesselin K.},
biburl = {https://www.bibsonomy.org/bibtex/22b40066633867817f3e17dd66e29c0c3/brazovayeye},
doi = {doi:10.1023/A:1010066330916},
interhash = {111f7db3aa49d0048658a1f3333491e4},
intrahash = {2b40066633867817f3e17dd66e29c0c3},
issn = {1389-2576},
journal = {Genetic Programming and Evolvable Machines},
keywords = {algorithms, based case circuit circuits, computing, design, digital evolutionary evolvable extraction fitness genetic hardware, landscapes, principle programming, reasoning,},
month = {July},
notes = {Article ID: 264704},
number = 3,
pages = {259--288},
timestamp = {2008-06-19T17:47:17.000+0200},
title = {Principles in the Evolutionary Design of Digital
Circuits-Part {II}},
volume = 1,
year = 2000
}