Please report any queries concerning the funding data grouped in the
sections named
"Externally Awarded"
or
"Internally Disbursed"
(shown on the profile page) to your Research Finance Administrator.
Your can find your Research Finance Administrator at http://www.ucl.ac.uk/finance/research/post_award/post_award_contacts.php
by entering your department
Please report any queries concerning the student data shown on the
profile page to:
Email: portico-services@ucl.ac.uk
Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Email: portico-services@ucl.ac.uk
Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
Kernel methods for PSOs
-
Publication Type:Report
-
Authors:Langdon WB, Poli R, Stephens CR
-
publication date:12/2005
-
Place of publication:UK
-
Report number:CSM-443
-
Print ISSN:1744-8050
-
Publisher URL:
-
Notes:keywords: genetic algorithms, genetic programming, Particle Swarm Optimisation, Hill Climbing size: 7 pages
Abstract
We report initial experiments on evolving kernel functions which describe the average behaviour of a swarm of particles as if it was responding as a single point moving on a landscape transformed by the kernel. Such kernels may help explain swarm and population approaches leading to extended population systems, XPS. The swarm of particles are from a simple particle swarm optimiser solving one dimensional multi-modal 3 peaks and Rastrigin problems. The standard Java genetic programming implementation TinyGP is used.
› More
search options
There are no UCL People associated with
this publication