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1st International ICST Conference on Bio Inspired Models of Network, Information and Computing Systems

Research Article

A library framework for implementing genetic algorithms in Java

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1145/1315843.1315887,
        author={Bartosz  Kozlowski and Varvara  Fazalova},
        title={A library framework for implementing genetic algorithms in Java},
        proceedings={1st International ICST Conference on Bio Inspired Models of Network, Information and Computing Systems},
        publisher={ACM},
        proceedings_a={BIONETICS},
        year={2006},
        month={12},
        keywords={},
        doi={10.1145/1315843.1315887}
    }
    
  • Bartosz Kozlowski
    Varvara Fazalova
    Year: 2006
    A library framework for implementing genetic algorithms in Java
    BIONETICS
    ACM
    DOI: 10.1145/1315843.1315887
Bartosz Kozlowski1,2,3,*, Varvara Fazalova4,5,6,*
  • 1: Institute of Control and Computation Engineering, Warsaw University of Technology
  • 2: Warsaw, Poland 00-665, Nowowiejska St. 15/19
  • 3: International Institute for Applied Systems Analysis, Laxenburg, Austria
  • 4: Limnological Institute, Siberian Branch of the Russian Academy of Science
  • 5: Irkutsk, Russia 664033, Ulan-Batorskaya St. 3
  • 6: International Institute for Applied Systems Analysis, Laxenburg, Austria.
*Contact email: bk@iiasa.ac.at, fazalova@iiasa.ac.at

Abstract

This paper presents a Java based library designed to provide scientists and programmers with a framework, which makes it easy to implement and simulate genetic algorithms. Library's programming interfaces and implementation requirements are introduced. Further we describe the usage of the provided command-line interface and graphical user interface for universal simulator. Three sample problem implementations from the biological and optimization fields are reviewed. Moreover, we consider possible directions for extending the library.

Published
2006-12-13
Publisher
ACM
http://dx.doi.org/10.1145/1315843.1315887
Copyright © 2006–2025 ACM
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