Automatic Grammatical Evolution-Based Optimization of Matrix Factorization Algorithm
Mathematics, 2022 Nowadays, recommender systems are vital in lessening the information overload by filtering out unnecessary information, thus increasing comfort and quality of life.
Matevž Kunaver +2 more
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Constructing the Bounds for Neural Network Training Using Grammatical Evolution
Computers, 2023 Artificial neural networks are widely established models of computational intelligence that have been tested for their effectiveness in a variety of real-world applications.
Ioannis G. Tsoulos +2 more
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L-Atur Generative Design L-Systems Based Web Application: New Challenges and Novel Application Horizons [PDF]
International Journal of Web Research, 2023 L-Atur is a web application with the essence of human and machine collaboration that assists users who don't have coding or design skills to generate their customized products.
Rashin Rahnamoun, Romina Rahnamoun
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Learning Functions and Classes Using Rules
AI, 2022 In the current work, a novel method is presented for generating rules for data classification as well as for regression problems. The proposed method generates simple rules in a high-level programming language with the help of grammatical evolution.
Ioannis G. Tsoulos
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The case for grammatical evolution in test generation
GECCO Companion, 2022 Generating tests for software is an important, but difficult, task. Search-based test generation is promising, as it reduces the time required from human experts, but suffers from many problems and limitations.
Aidan Murphy +2 more
semanticscholar +1 more source
Mathematics, 2021 Complex systems are usually affected by various sources of uncertainty, and it is essential to account for mechanisms that ensure the proper management of such disturbances.
Ivan Contreras +4 more
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A Feature Construction Method That Combines Particle Swarm Optimization and Grammatical Evolution
Applied Sciences, 2023 The problem of data classification or data fitting is widely applicable in a multitude of scientific areas, and for this reason, a number of machine learning models have been developed. However, in many cases, these models present problems of overfitting
Ioannis G. Tsoulos, Alexandros Tzallas
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General-purpose hierarchical optimisation of machine learning pipelines with grammatical evolution
Information Sciences, 2021 This paper introduces Hierarchical Machine Learning Optimisation (HML-Opt), an AutoML framework that is based on probabilistic grammatical evolution. HML-Opt has been designed to provide a flexible framework where a researcher can define the space of ...
Suilan Estévez-Velarde +3 more
semanticscholar +1 more source
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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Arabic grammatical text: Variation, proliferation, and evolution in knowledge circulation [PDF]
Reči (Beograd)Situated within the lineage of two hubs of grammatical tradition (the Sanskrit and the Hellenistic traditions), the Arabic grammatical tradition represents a captivating intellectual domain that preserves a rich assemblage of linguistic resources.
Matar Madyan T.
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