Result Details
An Analysis of Control Parameters of Copula-based EDA Algorithm with Model Migration
        HYRŠ, M.; SCHWARZ, J. An Analysis of Control Parameters of Copula-based EDA Algorithm with Model Migration. In GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion. Praha: Association for Computing Machinery, 2019. p. 259-260.  ISBN: 978-1-4503-6748-6.
    
                Type
            
        
                conference paper
            
        
                Language
            
        
                English
            
        
            Authors
            
        
                Hyrš Martin, Ing., Ph.D., DCSY (FIT)
                
Schwarz Josef, doc. Ing., CSc., DCSY (FIT)
        Schwarz Josef, doc. Ing., CSc., DCSY (FIT)
                    Abstract
            
        The copula-based EDA algorithms nowadays represent a promising technique for problem optimization in the continuous domain. This paper provides a detailed analysis on how six key parameters of the parallel copula-based EDA with model migration (mCEDA) influence the quality of optimization. In order to improve the performance of that kind of algorithm the most suitable setting of these control parameters is evaluated on the well known CEC 2013 benchmark using inferential statistics.
                Keywords
            
        EDA; copulas; parallelization; model migration; optimization
                URL
            
        
                Published
            
            
                    2019
                    
                
            
                    Pages
                
            
                        259–260
                
            
                        Proceedings
                
            
                    GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion
                
            
                    Conference
                
            
                    The Genetic and Evolutionary Computation Conference GECCO 2019
                
            
                    ISBN
                
            
                    978-1-4503-6748-6
                
            
                    Publisher
                
            
                    Association for Computing Machinery
                
            
                    Place
                
            
                    Praha
                
            
                    DOI
                
            
                    UT WoS
                
            
                    000538328100130
                
            
                EID Scopus
                
            
                    BibTeX
                
            @inproceedings{BUT159981,
  author="Martin {Hyrš} and Josef {Schwarz}",
  title="An Analysis of Control Parameters of Copula-based EDA Algorithm with Model Migration",
  booktitle="GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion",
  year="2019",
  pages="259--260",
  publisher="Association for Computing Machinery",
  address="Praha",
  doi="10.1145/3319619.3321910",
  isbn="978-1-4503-6748-6",
  url="https://dl.acm.org/citation.cfm?doid=3319619.3321910"
}
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                Projects
            
        
        
            
        
    
    
        Pokročilé paralelní a vestavěné počítačové systémy, BUT, Vnitřní projekty VUT, FIT-S-17-3994, start: 2017-03-01, end: 2020-02-29, completed
            
        
                Departments