Result Details
Acceleration of Evolutionary Image Filter Design Using Coevolution in Cartesian GP
        DRAHOŠOVÁ, M.; SEKANINA, L. Acceleration of Evolutionary Image Filter Design Using Coevolution in Cartesian GP. Lecture Notes in Computer Science, 2012, vol. 2012, no. 7491, p. 163-172.  ISSN: 0302-9743.
    
                Type
            
        
                journal article
            
        
                Language
            
        
                English
            
        
            Authors
            
        
                Drahošová Michaela, Ing., Ph.D., FIT (FIT), DCSY (FIT)
                
Sekanina Lukáš, prof. Ing., Ph.D., DCSY (FIT)
        Sekanina Lukáš, prof. Ing., Ph.D., DCSY (FIT)
                    Abstract
            
        The aim of this paper is to accelerate the task of evolutionary image filter design using coevolution of candidate filters and training vectors subsets. Two coevolutionary methods are implemented and compared for this task in the framework of Cartesian Genetic Programming (CGP). Experimental results show that only 15-20 % of original test vectors are needed to find an image filter which provides the same quality of filtering as the best filter evolved using the standard CGP which utilizes the whole training set. Moreover, the median time of evolution was reduced 2.99 times in comparison with the standard CGP.
                Keywords
            
        Cartesian genetic programming, coevolution, fitness modeling, image filter design.
                URL
            
        
                Published
            
            
                    2012
                    
                
            
                    Pages
                
            
                        163–172
                
            
                    Journal
                
            
                    Lecture Notes in Computer Science, vol. 2012, no. 7491, ISSN 0302-9743
                
            
                        Book
                
            
                    The 12th International Conference on Parallel Problem Solving from Nature
                
            
                    ISBN
                
            
                    978-3-642-32936-4
                
            
                    Publisher
                
            
                    Springer Verlag
                
            
                    Place
                
            
                    Berlin
                
            
                    DOI
                
            
                    BibTeX
                
            @article{BUT96949,
  author="Michaela {Drahošová} and Lukáš {Sekanina}",
  title="Acceleration of Evolutionary Image Filter Design Using Coevolution in Cartesian GP",
  journal="Lecture Notes in Computer Science",
  year="2012",
  volume="2012",
  number="7491",
  pages="163--172",
  doi="10.1007/978-3-642-32937-1\{_}17",
  issn="0302-9743",
  url="http://link.springer.com/chapter/10.1007%2F978-3-642-32937-1_17"
}
                
                Projects
            
        
        
            
        
    
    
        Advanced secured, reliable and adaptive IT, BUT, Vnitřní projekty VUT, FIT-S-11-1, start: 2011-01-01, end: 2013-12-31, completed
                
Centrum excelence IT4Innovations, MŠMT, Operační program Výzkum a vývoj pro inovace, ED1.1.00/02.0070, start: 2011-01-01, end: 2015-12-31, completed
Mathematical and Engineering Approaches to Developing Reliable and Secure Concurrent and Distributed Computer Systems, GACR, Doktorské granty, GD102/09/H042, start: 2009-01-30, end: 2012-12-31, completed
Natural Computing on Unconventional Platforms, GACR, Standardní projekty, GAP103/10/1517, start: 2010-01-01, end: 2013-12-31, running
Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running
        Centrum excelence IT4Innovations, MŠMT, Operační program Výzkum a vývoj pro inovace, ED1.1.00/02.0070, start: 2011-01-01, end: 2015-12-31, completed
Mathematical and Engineering Approaches to Developing Reliable and Secure Concurrent and Distributed Computer Systems, GACR, Doktorské granty, GD102/09/H042, start: 2009-01-30, end: 2012-12-31, completed
Natural Computing on Unconventional Platforms, GACR, Standardní projekty, GAP103/10/1517, start: 2010-01-01, end: 2013-12-31, running
Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running
                Research groups
            
        
                Evolvable Hardware Research Group (RG EHW)
            
        
                Departments