Results 31 to 40 of about 10,521 (255)
Mining Road Traffic Rules with Signal Temporal Logic and Grammar-Based Genetic Programming
Applied Sciences, 2021 Traffic systems, where human and autonomous drivers interact, are a very relevant instance of complex systems and produce behaviors that can be regarded as trajectories over time.
Federico Pigozzi +2 more
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Grammatical Evolution of L-systems [PDF]
2009 IEEE Congress on Evolutionary Computation, 2009 L-systems are parallel generative grammars that can model branching structures. Taking a graphical object and attempting to derive an L-system describing it is a hard problem. Grammatical Evolution (GE) is an evolutionary technique aimed at creating grammars describing the legal structures an object can take.
Darren Beaumont, Susan Stepney
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Probabilistic Structured Grammatical Evolution
2022 IEEE Congress on Evolutionary Computation (CEC), 2022 The grammars used in grammar-based Genetic Programming (GP) methods have a significant impact on the quality of the solutions generated since they define the search space by restricting the solutions to its syntax. In this work, we propose Probabilistic Structured Grammatical Evolution (PSGE), a new approach that combines the Structured Grammatical ...
Jessica Mégane +2 more
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WWW portal usage analysis using genetic algorithms
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2009 The article proposes a new method suitable for advanced analysis of web portal visits. This is part of retrieving information and knowledge from web usage data (web usage mining). Such information is necessary in order to gain better insight into visitor’
Ondřej Popelka, Jiří Šťastný
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NNC: A tool based on Grammatical Evolution for data classification and differential equation solving
SoftwareX, 2019 A genetic programming tool is demonstrated for data classification and differential equation solving. The fundamental element of the method is the well-known technique of Grammatical Evolution.
Ioannis G. Tsoulos +2 more
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Exploring Grammatical Modification with Modules in Grammatical Evolution [PDF]
, 2011 There have been many approaches to modularity in the field of evolutionary computation, each tailored to function with a particular representation. This research examines one approach to modularity and grammar modification with a grammar-based approach to genetic programming, grammatical evolution (GE).
John Mark Swafford +3 more
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Genotype representations in grammatical evolution [PDF]
Applied Soft Computing, 2010 Grammatical evolution (GE) is a form of grammar-based genetic programming. A particular feature of GE is that it adopts a distinction between the genotype and phenotype similar to that which exists in nature by using a grammar to map between the genotype and phenotype.
Jonatan Hugosson +3 more
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Chaos Powered Grammatical Evolution [PDF]
, 2014 In this paper we discuss alternative nonrandom generators for symbolic regression algorithms and compare its variants powered by classical pseudo-random number generator and chaotic systems. Experimental data from previous experiments reported for genetic programming and analytical programming is used. The selected algorithms are differential evolution
Zelinka, Ivan +2 more
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Future Internet, 2023 Software-Defined Networking (SDN) stands as a pivotal paradigm in network implementation, exerting a profound influence on the trajectory of technological advancement. The critical role of security within SDN cannot be overstated, with distributed denial
Evangelos D. Spyrou +2 more
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Predicting the Magnitude of Earthquakes Using Grammatical Evolution
AlgorithmsThroughout history, human societies have sought to explain natural phenomena through the lens of mythology. Earthquakes, as sudden and often devastating events, have inspired a range of symbolic and mythological interpretations across different ...
Constantina Kopitsa +2 more
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