Aug 17, 2017 · In this paper, we present an approach for optimal product configuration by exploiting feature models and grammar guided genetic programming.
In this paper, we present an approach for optimal product configuration by exploiting feature models and grammar guided genetic programming. In particular, we ...
In particular, we propose a novel encoding of candidate solutions, based on grammar representation of feature models, which ensures that relations imposed in ...
This thesis explores and analyses methods of genetic programming based on formal grammars. Genetic programming (GP) is a metaheuristic for deriving problem ...
Missing: Configuration | Show results with:Configuration
This website contains an example gallery created with a preliminary prototype of two grammar-guided genetic programming methods: CFG-GP and GE.
Missing: Configuration | Show results with:Configuration
Oct 22, 2024 · Grammatical Evolution (GE) is a genetic programming technique in which the candidate solutions are represented using a binary genotype and the ...
Missing: Configuration | Show results with:Configuration
A novel Similarity-Based Many-Objective Grammar Guided Genetic Programming (SBMaOG3P) approach is proposed, leveraging the programs generated by LLMs in two ...
Abstract- Genetic programming (GP) extends traditional genetic algorithms to automatically induce computer programs. GP has been applied in a wide.
Grammar-Guided Genetic Programming (G3P) is widely recognised as one of the most successful approaches for program synthesis, i.e., ...
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Grammar Based Genetic Programming for Software Configuration Problem. In Tim Menzies and Justyna Petke editors, Proceedings of the 9th International ...