research-article

JGEA: a modular java framework for experimenting with evolutionary computation

Authors:

Giorgia Nadizar,

Luca ManzoniAuthors Info & Claims

GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion

Pages 2009 - 2018

https://doi.org/10.1145/3520304.3533960

Published: 19 July 2022 Publication History

Abstract

We present the Java General Evolutionary Algorithm (JGEA) framework, a modular Java framework for experimenting with Evolutionary Computation (EC). We designed JGEA to be (a) aimed at providing a general interface to potentially all Evolutionary Algorithms (EAs), yet (b) solid and easy to use for people who rely on EC as a tool. To this extent, we developed JGEA including a range of ready-to-use EAs, backed by a modular architecture, comprising diverse layers of abstraction, which simplifies the implementation of new EAs and the addition of new features. Here, we detail the general structure of JGEA, focusing on its high-level components, and present the use case of the introduction of a new EA in the framework. To complete the picture, we illustrate the application of JGEA for solving a real world problem, from its formal definition in the framework to the saving and processing of results. The source code of JGEA is available at https://github.com/ericmedvet/jgea.

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Cited By

Ferigo AIacca GMedvet ENadizar G(2025)Totipotent neural controllers for modular soft robots: Achieving specialization in body–brain co-evolution through Hebbian learningNeurocomputing10.1016/j.neucom.2024.128811614(128811)Online publication date: Jan-2025
https://doi.org/10.1016/j.neucom.2024.128811
El Saliby MNadizar GSalvato EMedvet ELi XHandl J(2024)Eventually, all you need is a simple evolutionary algorithm (for neuroevolution of continuous control policies)Proceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3638530.3664112(1904-1913)Online publication date: 14-Jul-2024
https://dl.acm.org/doi/10.1145/3638530.3664112
Pietropolli GNichele SMedvet ELi XHandl J(2024)The Role of the Substrate in CA-based Evolutionary AlgorithmsProceedings of the Genetic and Evolutionary Computation Conference10.1145/3638529.3654112(768-777)Online publication date: 14-Jul-2024
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Index Terms

JGEA: a modular java framework for experimenting with evolutionary computation
1. Software and its engineering
  1. Software notations and tools
    1. Development frameworks and environments
      1. Object oriented frameworks
2. Theory of computation
  1. Design and analysis of algorithms
    1. Mathematical optimization
      1. Discrete optimization
        Optimization with randomized search heuristics
        Evolutionary algorithms

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GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion

July 2022

2395 pages

ISBN:9781450392686

DOI:10.1145/3520304

Editor:
Jonathan E. Fieldsend
University of Exeter
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Markus Wagner
The University of Adelaide

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Published: 19 July 2022

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Ferigo AIacca GMedvet ENadizar G(2025)Totipotent neural controllers for modular soft robots: Achieving specialization in body–brain co-evolution through Hebbian learningNeurocomputing10.1016/j.neucom.2024.128811614(128811)Online publication date: Jan-2025
https://doi.org/10.1016/j.neucom.2024.128811
El Saliby MNadizar GSalvato EMedvet ELi XHandl J(2024)Eventually, all you need is a simple evolutionary algorithm (for neuroevolution of continuous control policies)Proceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3638530.3664112(1904-1913)Online publication date: 14-Jul-2024
https://dl.acm.org/doi/10.1145/3638530.3664112
Pietropolli GNichele SMedvet ELi XHandl J(2024)The Role of the Substrate in CA-based Evolutionary AlgorithmsProceedings of the Genetic and Evolutionary Computation Conference10.1145/3638529.3654112(768-777)Online publication date: 14-Jul-2024
https://dl.acm.org/doi/10.1145/3638529.3654112
Ferigo ACunegatti EIacca GLi XHandl J(2024)Neuron-centric Hebbian LearningProceedings of the Genetic and Evolutionary Computation Conference10.1145/3638529.3654011(87-95)Online publication date: 14-Jul-2024
https://dl.acm.org/doi/10.1145/3638529.3654011
Medvet ENadizar G(2024)GP for Continuous Control: Teacher or Learner? The Case of Simulated Modular Soft RobotsGenetic Programming Theory and Practice XX10.1007/978-981-99-8413-8_11(203-224)Online publication date: 18-Feb-2024
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Arbaoui TAthmani MHenni MLaissaoui ATerzi MSilva SPaquete L(2023)PyScheduling: an Extensible and User-Friendly Python Framework for Scheduling ProblemsProceedings of the Companion Conference on Genetic and Evolutionary Computation10.1145/3583133.3596366(1855-1863)Online publication date: 15-Jul-2023
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Medvet EPozzi SManzoni LSilva SPaquete L(2023)A General Purpose Representation and Adaptive EA for Evolving GraphsProceedings of the Genetic and Evolutionary Computation Conference10.1145/3583131.3590431(1156-1164)Online publication date: 15-Jul-2023
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