The genetic algorithm as a discovery engine: strange circuits and new principles
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InCollection{510373,
-
author = "Julian F. Miller and Tatiana Kalganova and
Dominic Job and Natalia Lipnitskaya",
-
title = "The genetic algorithm as a discovery engine: strange
circuits and new principles",
-
editor = "Peter J. Bentley and David Corne",
-
booktitle = "Creative evolutionary systems",
-
year = "2002",
-
ISBN = "1-55860-673-4",
-
pages = "443--466",
-
chapter = "18",
-
publisher = "Morgan Kaufmann Publishers Inc.",
-
keywords = "genetic algorithms, genetic programming",
-
URL = "https://www.sciencedirect.com/science/article/pii/B9781558606739500586",
-
DOI = "doi:10.1016/B978-155860673-9/50058-6",
-
abstract = "Publisher Summary This chapter puts forward the view
that evolutionary algorithms together with the
assemble-and-test methodology can be regarded as a
discovery engine or creative machine for new designs.
The chapter suggests that new principles may be
discovered by examining a series of evolved designs, in
this case, for arithmetic logic circuits. The chapter
examines the concept of the space of all circuit
representations but observes that similar ideas may
well carry over to the general field of design. The
human-designed algebras that form subsets of the space
of all representations both for binary and
multiple-valued systems are analogous to small
“pools” of human principles, and by employing the
blind evolutionary technique new principles may be
discovered. The chapter looks at the difficult problem
of principle extraction from evolved data. The chapter
ends on a hopeful note that the process of learning new
principles from a blind evolutionary process is just a
matter of time.",
-
notes = "Part of \cite{Bentley:2002:bookCES}",
- }
Genetic Programming entries for
Julian F Miller
Tatiana Kalganova
Dominic Job
Natalia G Lipnitskaya
Citations