A Library for General Genetic Algorithm with Sequential/Parallel Fitness Function Calculation

In this paper, we describe a library for Java, which enables easy usage of a genetic algorithm in a project. The library - Genetic Algorithm Library for Java (GAL4J) - contains multiple utilizable variants of individual parts of the genetic algorithm and also enables parallel computation of the fitn...

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Bibliographic Details
Published inConference on Human System Interaction pp. 1 - 6
Main Authors Potuzak, Tomas, Krenek, Filip
Format Conference Proceeding
LanguageEnglish
Published IEEE 16.07.2025
Subjects
genetic algorithm
Genetic algorithms
Java
Java library
Libraries
parallel fitness
Usability
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ISSN2158-2254
DOI10.1109/HSI66212.2025.11142377

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Summary:In this paper, we describe a library for Java, which enables easy usage of a genetic algorithm in a project. The library - Genetic Algorithm Library for Java (GAL4J) - contains multiple utilizable variants of individual parts of the genetic algorithm and also enables parallel computation of the fitness values of the individuals. The usability of the library was demonstrated on two classical problems. The speed of the GAL4J genetic algorithm using sequential and parallel fitness function calculation was investigated. The GAL4J was also compared to two existing GA libraries of third parties.
ISSN:2158-2254
DOI:10.1109/HSI66212.2025.11142377