Java evolutionary framework based on genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Karasek:2014:SPIN,

• author = "Jan Karasek and Radim Burget and Malay Kishore Dutta and Anushikha Singh",
• title = "Java evolutionary framework based on genetic programming",
• booktitle = "International Conference on Signal Processing and Integrated Networks (SPIN 2014)",
• year = "2014",
• month = feb,
• pages = "606--612",
• keywords = "genetic algorithms, genetic programming, genetic improvement, hash function, ultra sound image processing, JEF",
• DOI = "doi:10.1109/SPIN.2014.6777026",
• abstract = "Automatic optimisation techniques, such as evolutionary algorithms, have become popular in the recent years as a general, simple, robust, and scalable solution which can be applied when other optimisation method fails. Recently, many evolutionary and/or genetic based optimisation frameworks and libraries have been developed and lot of them is freely available. On the other hand, there are not many tools in optimisation field that allows the researchers to implement own code, modify existing code or compare different algorithms. This paper proposes a new grammar driven genetic programming based framework implemented in cross-platform Java programming language which allows to implement own code, modify existing, and analyse algorithms. The framework described in this paper addresses the problem of flexibility, modularity, portability, and presents a general architecture for evolutionary optimisation based on genetic programming driven by context free grammar distributed under the LGPL license suitable for both scientific and business applications. In the paper is described a design of the framework, the motivation for development, and two use-cases.",
• notes = "Also known as \cite{6777026}",

}

Genetic Programming entries for Jan Karasek Radim Burget Malay Kishore Dutta Anushikha Singh

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