- author = "P. G. M. {van der Meulen}",
- title = "{PM-DGP} A Distributed Genetic Programming Framework",
- school = "Laboratory for Signals \& Systems, Department of Electrical Engineering",
- year = "2001",
- type = "Master's thesis",
- address = "University of Twente, The Netherlands",
- month = oct,
- keywords = "genetic algorithms, genetic programming",
-
URL = "
http://heanet.dl.sourceforge.net/sourceforge/pmdgp/pmdgp-thesis.pdf",
- size = "89 pages",
-
abstract = "In this report the design, implementation and usage of
PM-DGP is described. PM-DGP is a fully object-oriented
framework, written in C++, to aid in the implementation
of genetic programming (GP) problems. It is the result
of the search for a GP environment that allows a
programmer to concentrate on writing the fitness
function and the problem specific nodes he needs and
let the system take care of the rest, including the
distribution of the fitness evaluation. The system is
freely available as it is released under the GNU public
license.
The framework supports important additions to GP like automatically defined functions and random constants. Once a problem has been implemented using PM-DGP the time consuming task of fitness evaluation can be distributed using the idle time of networked computers running Microsoft Windows or Linux using a GUI server and clients. The system is designed to be flexible and extensible. Many aspects of a GP run, the nodes, node sets, result type and genetic algorithm, are configurable at run time using a simple textual configuration file.
The system offers a flexible yet efficient object-oriented genome interpreter that can work with different result types and uses a prefix coding to store its programs. When distributing the fitness evaluation the genome interpreter has to be sent to a client over the network only once after which the programs can be sent using only one to two bytes per node. Several example implementations of GP problems are included: symbolic regression, parity, artificial ant, royal tree and edge detector. An extensive tutorial showing how to implement the lawn mower problem is included in this report.",
-
notes = "Graduation Committee: Ir. A.M. Bazen (EL-S&S)
(supervisor) Dr. ir. S.H. Gerez (EL-S&S) (supervisor)
H.J. Kip, Btw (Nedap) Ir. A. Kuip (Nedap) Dr. M.Poel
(INF-TT) Prof. dr. ir. C.H. Slump (EL-S&S) Date:
11-Oct-2001 Report number: EL-S&S
019.01
http://sourceforge.net/projects/pmdgp/",
