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Full-Reference Image Quality Expression via Genetic Programming
IEEE Transactions on Image Processing, 2023Full-reference image quality measures are a fundamental tool to approximate the human visual system in various applications for digital data management: from retrieval to compression to detection of unauthorized uses. Inspired by both the effectiveness and the simplicity of hand-crafted Structural Similarity Index Measure (SSIM), in this work, we ...
Illya Bakurov +4 more
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ME-CGP: Multi Expression Cartesian Genetic Programming
IEEE Congress on Evolutionary Computation, 2010Cartesian Genetic Programming (CGP) is a form of Genetic Programming that uses directed graphs to represent programs. In this paper we propose a way of structuring a CGP algorithm to make use of the multiple phenotypes which are implicitly encoded in a genome string.
Phil T. Cattani, Colin G. Johnson
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A Multiple Expression Alignment Framework for Genetic Programming
2018Alignment in the error space is a recent idea to exploit semantic awareness in genetic programming. In a previous contribution, the concepts of optimally aligned and optimally coplanar individuals were introduced, and it was shown that given optimally aligned, or optimally coplanar, individuals, it is possible to construct a globally optimal solution ...
Leonardo Vanneschi +2 more
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Active Learning of Expressive Linkage Rules Using Genetic Programming
SSRN Electronic Journal, 2013A central problem in the context of the Web of Linked Data as well as in data integration in general is to identify entities in different data sources that describe the same real-world object. Many existing methods for matching entities rely on explicit linkage rules, which specify the conditions which must hold true for two entities in order to be ...
Robert Isele, Christian Bizer
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GENETIC REPRESENTATION AND GENETIC NEUTRALITY IN GENE EXPRESSION PROGRAMMING
Advances in Complex Systems, 2002The neutral theory of molecular evolution states that the accumulation of neutral mutations in the genome is fundamental for evolution to occur. The genetic representation of gene expression programming, an artificial genotype/phenotype system, not only allows the existence of non-coding regions in the genome where neutral mutations can accumulate but
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Automatic generation of regular expressions from examples with genetic programming
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation, 2012We explore the practical feasibility of a system based on genetic programming (GP) for the automatic generation of regular expressions. The user describes the desired task by providing a set of labeled examples, in the form of text lines. The system uses these examples for driving the evolutionary search towards a regular expression suitable for the ...
BARTOLI, Alberto +5 more
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Genetic Neutrality in Naive Gene Expression Programming
2008 4th International Conference on Wireless Communications, Networking and Mobile Computing, 2008Gene expression programming (GEP) is a genotype- phenotype system with non-coding regions in genome where possible neutral mutations would be accumulated. In this paper, a novel concept named naive gene expression programming (NGEP) is introduced. The main contributions include: (a) proposing a novel algorithm named NGEP, which decoding method based on
Ming-Fang Zhu +4 more
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Expressive genetic programming
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation, 2012The language in which evolving programs are expressed can have significant impacts on the problem-solving capabilities of a genetic programming system. These impacts stem both from the absolute computational power of the languages that are used, as elucidated by formal language theory, and from the ease with which various computational structures can ...
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Expressive Genetic Programming
Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, 2013The language in which evolving programs are expressed can have significant impacts on the problem-solving capabilities of a genetic programming system. These impacts stem both from the absolute computational power of the languages that are used, as elucidated by formal language theory, and from the ease with which various computational structures can ...
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System Identification Using Genetic Programming and Gene Expression Programming
2005This paper describes a computer program called ECSID that automates the process of system identification using Genetic Programming and Gene Expression Programming. ECSID uses a function set, and the observed data to determine an ODE whose behavior is similar to the observed data.
Juan J. Flores, Mario Graff
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