Here, we demonstrate the use of tags (evolvable labels that can be specified with imperfect matching) to identify memory positions in genetic programming (GP). Specifically, we conducted a series of experiments using simple linear-GP representations on five problems from the general program-synthesis benchmark suite [2]. We show that tag-indexed memory does not substantively affect problem solving success relative to more traditional, direct-indexed memory.
CITATION STYLE
Lalejini, A., & Ofria, C. (2019). Tag-accessed Memory for Genetic Programming. In GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion (pp. 346–347). Association for Computing Machinery, Inc. https://doi.org/10.1145/3319619.3321892
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