PMDGP: A distributed Object-Oriented Genetic Programming Environment.

Pieter G.M. Meulen; Han Schipper; A.M. Bazen; Sabih H. Gerez

PMDGP: A distributed Object-Oriented Genetic Programming Environment.

Pieter G.M. Meulen, Han Schipper, A.M. Bazen, Sabih H. Gerez

Research output: Contribution to conference › Paper › peer-review

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Abstract

In this paper, an environment for using genetic programming is presented. Although not restricted to a specific domain, our intention is to apply it to image processing problems such as fingerprint recognition. The environment performs tasks like: population management, genetic operators and distributed parallel evaluation of the programs. Furthermore, it provides a framework for implementation of the problemspecific part. Using object-oriented methods, the environment is designed to offer a high degree of flexibility and ease of use. The GP environment uses distributed fitness evaluation, which can be used on existing computer networks. The system is optimized for efficiency of distribution. Experiments are included in the paper to illustrate the high performance of our implementation of this distribution method.

Original language	Undefined
Pages	484-491
Number of pages	8
Publication status	Published - 30 May 2001
Event	7th Annual Conference of the Advanced School for Computing and Imaging, ASCI 2001 - Heijen, Netherlands Duration: 30 May 2001 → 1 Jun 2001 Conference number: 7

Conference

Conference	7th Annual Conference of the Advanced School for Computing and Imaging, ASCI 2001
Abbreviated title	ASCI
Country/Territory	Netherlands
City	Heijen
Period	30/05/01 → 1/06/01

Keywords

genetic programming environment
Fingerprints
IR-62439
Genetic programming
Distributed processing
EWI-13295
minutiaeextraction
image exploring agents
SCS-Safety

Access to Document

http://eprints.eemcs.utwente.nl/secure2/13295/01/asci01b.pdf

Cite this

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title = "PMDGP: A distributed Object-Oriented Genetic Programming Environment.",

abstract = "In this paper, an environment for using genetic programming is presented. Although not restricted to a specific domain, our intention is to apply it to image processing problems such as fingerprint recognition. The environment performs tasks like: population management, genetic operators and distributed parallel evaluation of the programs. Furthermore, it provides a framework for implementation of the problemspecific part. Using object-oriented methods, the environment is designed to offer a high degree of flexibility and ease of use. The GP environment uses distributed fitness evaluation, which can be used on existing computer networks. The system is optimized for efficiency of distribution. Experiments are included in the paper to illustrate the high performance of our implementation of this distribution method.",

keywords = "genetic programming environment, Fingerprints, IR-62439, Genetic programming, Distributed processing, EWI-13295, minutiaeextraction, image exploring agents, SCS-Safety",

author = "Meulen, {Pieter G.M.} and Han Schipper and A.M. Bazen and Gerez, {Sabih H.}",

year = "2001",

month = may,

day = "30",

language = "Undefined",

pages = "484--491",

note = "7th Annual Conference of the Advanced School for Computing and Imaging, ASCI 2001 ; Conference date: 30-05-2001 Through 01-06-2001",

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T1 - PMDGP: A distributed Object-Oriented Genetic Programming Environment.

AU - Meulen, Pieter G.M.

AU - Schipper, Han

AU - Bazen, A.M.

AU - Gerez, Sabih H.

N1 - Conference code: 7

PY - 2001/5/30

Y1 - 2001/5/30

N2 - In this paper, an environment for using genetic programming is presented. Although not restricted to a specific domain, our intention is to apply it to image processing problems such as fingerprint recognition. The environment performs tasks like: population management, genetic operators and distributed parallel evaluation of the programs. Furthermore, it provides a framework for implementation of the problemspecific part. Using object-oriented methods, the environment is designed to offer a high degree of flexibility and ease of use. The GP environment uses distributed fitness evaluation, which can be used on existing computer networks. The system is optimized for efficiency of distribution. Experiments are included in the paper to illustrate the high performance of our implementation of this distribution method.

AB - In this paper, an environment for using genetic programming is presented. Although not restricted to a specific domain, our intention is to apply it to image processing problems such as fingerprint recognition. The environment performs tasks like: population management, genetic operators and distributed parallel evaluation of the programs. Furthermore, it provides a framework for implementation of the problemspecific part. Using object-oriented methods, the environment is designed to offer a high degree of flexibility and ease of use. The GP environment uses distributed fitness evaluation, which can be used on existing computer networks. The system is optimized for efficiency of distribution. Experiments are included in the paper to illustrate the high performance of our implementation of this distribution method.

KW - genetic programming environment

KW - Fingerprints

KW - IR-62439

KW - Genetic programming

KW - Distributed processing

KW - EWI-13295

KW - minutiaeextraction

KW - image exploring agents

KW - SCS-Safety

M3 - Paper

SP - 484

EP - 491

T2 - 7th Annual Conference of the Advanced School for Computing and Imaging, ASCI 2001

Y2 - 30 May 2001 through 1 June 2001

ER -