Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Róbert Ványi"'
Autor:
Róbert Ványi
Publikováno v:
Genetic Programming and Evolvable Machines. 9:97-99
Publikováno v:
AHS
Finite impulse response (FIR) structures are the most commonly used digital filters and can be found in various areas of everyday life. In this paper a novel approach is proposed to optimize the redundancy-free design of such filter structures. Relyi
Autor:
Róbert Ványi
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540253969
EvoWorkshops
EvoWorkshops
Genetic Programming can be used to evolve complex objects. One field, where GP may be used is image analysis. There are several works using evolutionary methods to process, analyze or classify images. All these procedures need an appropriate fitness
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fddad5c9100e57e4f6bfce19ffc86d5a
https://doi.org/10.1007/978-3-540-32003-6_32
https://doi.org/10.1007/978-3-540-32003-6_32
Autor:
Szilvia Zvada, Róbert Ványi
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540213468
EuroGP
EuroGP
Using Genetic Programming difficult optimization problems can be solved, even if the candidate solutions are complex objects. In such cases, it is a costly procedure to correct or replace the invalid individuals that may appear during the evolutionar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dc7b9b36e7a8930cfbca1590839281c
https://doi.org/10.1007/978-3-540-24650-3_19
https://doi.org/10.1007/978-3-540-24650-3_19
Autor:
Róbert Ványi
Publikováno v:
Genetic and Evolutionary Computation – GECCO 2004 ISBN: 9783540223436
GECCO (2)
GECCO (2)
There are many types of evolutionary algorithms, just like genetic algorithms, evolution strategies or genetic programming. Thus there are a lot of implementations of different EAs as well. One can find many tools, programming libraries written in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4682088320531ba8ba25726aebe7de3e
https://doi.org/10.1007/978-3-540-24855-2_134
https://doi.org/10.1007/978-3-540-24855-2_134
Publikováno v:
Engineering Solutions for the Next Millennium. 1999 IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.99TH8411).
Describes a solution of the inverse problem for parametric Lindenmayer systems (L-systems) with genetic algorithms. The inverse problem studied is that of evolving Lindenmayer grammars to describe plants. A genetic algorithm is used to evolve the rew
Autor:
Róbert Ványi
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540434320
EvoWorkshops
EvoWorkshops
There are applications where a binary image is given and a shape is to be reconstructed from it with some kind of evolutionary algorithms. A solution for this problem usually highly depends on the fitness function. On the one hand fitness function in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b77bac0301f68197b5620098ae7489f0
https://doi.org/10.1007/3-540-46004-7_28
https://doi.org/10.1007/3-540-46004-7_28
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540673392
EuroGP
EuroGP
In this paper the enhanced version of the GREDEA system is presented. The main idea behind the system is that with the help of evolutionary algorithms a grammatical description of the blood circulation of the human retina can be inferred. The system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::571fbd40818771d6269f43631dd0def6
https://doi.org/10.1007/978-3-540-46239-2_14
https://doi.org/10.1007/978-3-540-46239-2_14
Publikováno v:
Artificial Intelligence in Medicine ISBN: 9783540661627
AIMDM
AIMDM
In this paper the GREDEA system is presented. The main idea behind it is that with the help of evolutionary algorithms a grammatical description of the blood circulation of the human retina can be inferred. The system uses parametric Lindenmayer syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76ea5004b8a6d956a152961e3965b919
https://doi.org/10.1007/3-540-48720-4_48
https://doi.org/10.1007/3-540-48720-4_48