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Online Genetic Improvement on the java virtual machine with ECSELR

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Abstract

Online Genetic Improvement embeds the ability to evolve and adapt inside a target software system enabling it to improve at runtime without any external dependencies or human intervention. We recently developed a general purpose tool enabling Online Genetic Improvement in software systems running on the java virtual machine. This tool, dubbed ECSELR, is embedded inside extant software systems at runtime, enabling such systems to self-improve and adapt autonomously online. We present this tool, describing its architecture and focusing on its design choices and possible uses.

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Notes

  1. TIOBE index: http://www.tiobe.com/index.php/content/paperinfo/tpci/index.html.

  2. JVMTI: https://docs.oracle.com/javase/7/docs/platform/jvmti/jvmti.html.

  3. WorldCup ’98 dataset can be found here: http://ita.ee.lbl.gov/html/contrib/WorldCup.html.

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Acknowledgments

This work is partially supported by the EU FP7-ICT-2011-9 No. 600654 DIVERSIFY project.

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Authors and Affiliations

  1. INRIA, Campus de Beaulieu, 263 Avenue Général Leclerc, 35042, Rennes, France

    Kwaku Yeboah-Antwi & Benoit Baudry

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  1. Kwaku Yeboah-Antwi
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  2. Benoit Baudry
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Correspondence to Kwaku Yeboah-Antwi.

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Yeboah-Antwi, K., Baudry, B. Online Genetic Improvement on the java virtual machine with ECSELR. Genet Program Evolvable Mach 18, 83–109 (2017). https://doi.org/10.1007/s10710-016-9278-4

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  • DOI: https://doi.org/10.1007/s10710-016-9278-4

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