Results 291 to 300 of about 3,048,704 (321)
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Glucose Prognosis by Grammatical Evolution
2018Patients suffering from Diabetes Mellitus illness need to control their levels of sugar by a restricted diet, a healthy life and in the cases of those patients that do not produce insulin (or with a severe defect on the action of the insulin they produce), by injecting synthetic insulin before and after the meals.
José Ignacio Hidalgo +3 more
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Reflective Grammatical Evolution
Artificial Life 14: Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems, 2014Our long term goal is to develop an open-ended reflective software architecture to support open-ended evolution. Here we describe a preliminary experiment using reflection to make simple programs evolved via Grammatical Evolution robust to mutations that result in coding errors. We use reflection in the domain of grammatical evolution (GE) to achieve a
Christopher Timperley, Susan Stepney
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Grammatical Evolution with Bidirectional Representation
2003Grammatical evolution is an evolutionary algorithm designed to evolve programs in any language. Grammatical evolution operates on binary strings and the mapping of the genotype onto the phenotype (the tree representation of the programs) is provided through the grammar described in the form of production rules.
Jirí Kubalík +2 more
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Understanding grammatical evolution: initialisation
Genetic Programming and Evolvable Machines, 2017Grammatical evolution is one of the most used variants of genetic programming, and ever since its introduction, several improvements have been suggested. One of these concerns the routine used to create the initial population. In this study, several proposed initialisation routines are compared; based on a detailed analysis of the generated initial ...
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Grammatical Evolution with Code2vec
2023Michal Kowalczykiewicz, Piotr Lipinski
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Analysis of Grammatical Evolution
2003In this chapter we analyse some of the unique features of GE using two problem domains described earlier in chapter 5, namely the Santa Fe ant trail and symbolic regression. In particular, our focus is turned to the wrapping operator and the degenerate genetic code.
Michael O’Neil, Conor Ryan
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Mapping in Grammatical Evolution
2018The act of going from genotype to phenotype in Grammatical Evolution requires the application of a mapping process. This mapping process works in conjunction with a grammar, to transform an ordinary string of integers into a possible solution to a problem.
David Fagan, Eoin Murphy
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Areal pressure in grammatical evolution
2018This article investigates the evolutionary and spatial dynamics of typological characters in 117 Indo-European languages. We partition types of change (i.e., gain or loss) for each variant according to whether they bring about a simplification in morphosyntactic patterns that must be learned, whether they are neutral (i.e., neither simplifying nor ...
Cathcart, Chundra +4 more
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The Evolution of Grammatical Categories
Diogenes, 1965If from the etymological point of view the term category denotes a class of objects sharing a common feature, under linguistic category we generally understand a class of linguistic units (chiefly words) sharing a common meaning or syntactical function,
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An outline of grammatical evolution
2007Abstract Among the questions that we raised in Chapter 1 there were the following: Which is older—the lexicon or grammar? What was the structure of human language like when it first evolved? How did language change from its genesis to now? Was language evolution abrupt or gradual?
Bernd Heine, Tania Kuteva
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