Add tag hop paper

Author: mmore500

blog_efflux/_posts/2022-07-19-moreno2022tag.md

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+---
+layout: efflux
+title: "Tag-based Module Regulation for Genetic Programming"
+date: 2022-07-19
+permalink: "/pubs/:title"
+category: abstract
+download: https://lalejini.com/pubs/2022-07-tag-based-regulation-ext-abstract.pdf
+view_publisher: https://doi.org/10.1145/3520304.3534060
+doi: "10.1145/3520304.3534060"
+authors:
+  - Alexander Lalejini
+  - Matthew Andres Moreno
+  - Charles Ofria
+venue: The Genetic and Evolutionary Computation Conference
+projects:
+  - hstrat
+abstract: |
+  This Hot-off-the-Press paper summarizes our recently published work, "Tag-based regulation of modules in genetic programming improves context-dependent problem solving," published in Genetic Programming and Evolvable Machines [1].
+  We introduce and experimentally demonstrate tag-based genetic regulation, a genetic programming (GP) technique that allows programs to dynamically adjust which code modules to express.
+  Tags are evolvable labels that provide a flexible naming scheme for referencing code modules.
+  Tag-based regulation extends tag-based naming schemes to allow programs to "promote" and "repress" code modules to alter module execution patterns.
+  We find that tag-based regulation improves problem-solving success on problems where programs must adjust how they respond to current inputs based on prior inputs; indeed, some of these problems could not be solved until regulation was added.
+  We also identify scenarios where the correct response to an input does not change over time, rendering tag-based regulation an unnecessary functionality that can sometimes impede evolution.
+  Broadly, tag-based regulation adds to our repertoire of techniques for evolving more dynamic computer programs and can easily be incorporated into existing tag-enabled GP systems.
+bibtex: |-
+  @inproceedings{lalejini2022tag,
+    author = {Lalenini, Alexander and Moreno, Matthew Andres and Ofria, Charles},
+    title = {Tag-based Module Regulation for Genetic Programming},
+    year = {2022},
+    isbn = {9781450392686},
+    publisher = {Association for Computing Machinery},
+    address = {New York, NY, USA},
+    url = {https://doi.org/10.1145/3520304.3534060},
+    doi = {10.1145/3520304.3534060},
+    booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference Companion},
+    pages = {25-26},
+    numpages = {2},
+    keywords = {gene regulation, genetic programming, SignalGP, automatic program synthesis, tag-based referencing},
+    location = {Boston, Massachusetts},
+    series = {GECCO '22}
+  }
+citation: "Alexander Lalejini, Matthew Andres Moreno, and Charles Ofria. 2022. Tag-based Module Regulation for Genetic Programming. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '22). Association for Computing Machinery, New York, NY, USA, 25–26. https://doi.org/10.1145/3520304.3534060"
+supporting_materials: |
+  - [primary publication](https://doi.org/10.1007/s10710-021-09406-8)
+---