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GPStar4: A flexible framework for experimenting with genetic programming

Published:24 July 2023Publication History

ABSTRACT

GPStar4 is a flexible workbench for experimenting with population algorithms. It is a framework that defines a genetic cycle, with inflection points for implementing an algorithm's specific behaviors; it also provides a variety of implementations for these inflection points. A user of the system can select from the provided implementations and customize the places where alternative behavior is desired, or even create their own implementations. Components interact through a context mechanism that enables both mutable and immutable information sharing, type checking, computed defaults and event listeners.

Interesting predefined components included in GPStar4 are implementations for classical tree-based expression structures; acyclic multigraphs with named ports, type systems for flat, hierarchical and attribute types, recursively defined populations using both subpopulation and build-from-parts semantics, and numeric and multi-objective fitnesses. Key enabling technologies for this flexibility include context mechanisms, choosers, and a variety of caches.

GPStar4 can be run as an API library for other applications, as a command-line application, or as a stand-alone application with its own GUI.

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      cover image ACM Conferences
      GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation
      July 2023
      2519 pages
      ISBN:9798400701207
      DOI:10.1145/3583133

      Copyright © 2023 ACM

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      Publication History

      • Published: 24 July 2023

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