Journal Article

Genetic programming with dynamically regulated parameters for generating program code

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2014) 8733 363-372
DOI: 10.1007/978-3-319-11289-3_37
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Abstract

Genetic Programming (GP) is one of the Evolutionary Algorithms. There are many theories concerning automatic code generation. In this article we present the latest research of using our dynamic scaling parameter in Genetic Programming to create a code. We have created practically functioning program code with the dynamic instruction set for L language. For testing we have chosen the best known problems. Our investigations of the best range of each parameter were based on our preliminary experiments.

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Łysek, T., & Boryczka, M. (2014). Genetic programming with dynamically regulated parameters for generating program code. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8733, 363–372. https://doi.org/10.1007/978-3-319-11289-3_37

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