eprintid: 10087119
rev_number: 16
eprint_status: archive
userid: 608
dir: disk0/10/08/71/19
datestamp: 2020-02-07 12:41:40
lastmod: 2020-02-12 17:29:30
status_changed: 2020-02-07 12:41:40
type: proceedings_section
metadata_visibility: show
creators_name: Yu, T
creators_name: Clack, C
title: PolyGP: a polymorphic genetic programming system in Haskell
ispublished: pub
divisions: UCL
divisions: A01
divisions: B04
divisions: C05
divisions: F48
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: In general, the machine learning
process can be accelerated through the
use of additional knowledge about the
problem solution. For example, monomorphic typed Genetic Programming
(GP) uses type information to reduce the
search space and improve performance.
Unfortunately, monomorphic typed GP
also loses the generality of untyped GP:
the generated programs are only suitable for inputs with the specified type.
Polymorphic typed GP improves over
monomorphic and untyped GP by
allowing the type information to be
expressed in a more generic manner, and
yet still imposes constraints on the
search space. This paper describes a
polymorphic GP system which can generate polymorphic programs: programs
which take inputs of more than one type
and produce outputs of more than one
type.
date: 1998
date_type: published
publisher: Morgan Kaufman
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 41088
lyricists_name: Clack, Christopher
lyricists_id: CDCLA00
actors_name: Clack, Christopher
actors_id: CDCLA00
actors_role: owner
full_text_status: public
place_of_pub: San Francisco, CA
pagerange: 416-421
event_title: Genetic Programming
event_dates: 22 July 1998 - 25 July 1998
institution: Genetic Programming
book_title: Genetic Programming 1998: Proceedings of the Third Annual Conference
citation:        Yu, T;    Clack, C;      (1998)    PolyGP: a polymorphic genetic programming system in Haskell.                     In:  Genetic Programming 1998: Proceedings of the Third Annual Conference.  (pp. pp. 416-421).  Morgan Kaufman: San Francisco, CA.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10087119/1/pgp.new.pdf