Work

Initialisation in Structured Grammatical Evolution

Year: 2023

Type: conference-paper

Abstract: Robust initialisation has shown to greatly improve the performance of genetic programming on a wide variety of tasks. Many of these have been adapted to work with grammatical evolution, with varying success. We are the first to examine the effectiveness of some of the most popular grammatical evolution initialisation techniques using structured grammatical evolution. Namely, we investigate sensible initialisation and probabilistic tree creation 2, as well as the standard initialisation procedure used in structured grammatical evolution, grow.

Source: Genetic and Evolutionary Computation Conference Companion (GECCO Companion)

DOI: 10.1145/3583133.3596412

Authors: Aidan Murphy, Nuno Lourenço, Anthony Ventresque

Institutions: Trinity College Dublin, Lero, University of Coimbra

Language: English

Topic: Evolutionary Algorithms and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: Science Foundation Ireland, European Regional Development Fund

Awards: RobuSTests: Robust Software Tests, G748906536