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CodeMonkey; a GUI Driven Platform for Swift Synthesis of Evolutionary Algorithms in Java

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Applications of Evolutionary Computation (EvoApplications 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7835))

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Abstract

CodeMonkey is a GUI driven software development platform that allows non-experts and experts alike to turn an evolutionary algorithm design into a working Java program, with a minimal amount of manual code entry. This paper describes the concepts behind CodeMonkey, its internal architecture and manner of use. It concludes with a simple application that exhibits its utilization for multi-dimensional function optimization. CodeMonkey is provided free of charge, for non-commercial users, as a plug-in for the Eclipse platform.

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References

  1. Genetic and Evolutionary Algorithm Toolbox for Matlab, http://www.geatbx.com

  2. Geatbx Parameter Optimization, http://www.geatbx.com/docu/algindex-09.html#P1058_123869

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  10. Notes on the Eclipse Plug-in Architecture, http://www.eclipse.org/articles/Article-Plug-in-architecture/plugin_architecture.html

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Author information

Authors and Affiliations

  1. Electrical and Computer Engineering Department, Concordia University, Montreal, QC, Canada, H3G 1M8

    Reza Etemadi, Nawwaf Kharma & Peter Grogono

Authors
  1. Reza Etemadi
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  2. Nawwaf Kharma
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  3. Peter Grogono
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Editor information

Editors and Affiliations

  1. S2 Grupo, C/ Ramiro de Maeztu 7, 46022, Valencia, Spain

    Anna I. Esparcia-Alcázar

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© 2013 Springer-Verlag Berlin Heidelberg

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Etemadi, R., Kharma, N., Grogono, P. (2013). CodeMonkey; a GUI Driven Platform for Swift Synthesis of Evolutionary Algorithms in Java. In: Esparcia-Alcázar, A.I. (eds) Applications of Evolutionary Computation. EvoApplications 2013. Lecture Notes in Computer Science, vol 7835. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37192-9_44

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  • DOI: https://doi.org/10.1007/978-3-642-37192-9_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37191-2

  • Online ISBN: 978-3-642-37192-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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