Combining Genetic Programming and Model-Driven Development

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Weise:2009:IJCIA,

• author = "Thomas Weise and Michael Zapf and Mohammad Ullah Khan and Kurt Geihs",
• title = "Combining Genetic Programming and Model-Driven Development",
• journal = "International Journal of Computational Intelligence and Applications (IJCIA)",
• year = "2009",
• volume = "8",
• number = "1",
• month = mar,
• pages = "37--52",
• keywords = "genetic algorithms, genetic programming, evolutionary algorithms, model-driven development, model-driven architecture, UML, XMI, MOFScript, distributed systems, distributed algorithms, sensor networks",
• URL = "http://www.it-weise.de/documents/files/WZKG2009DGPFz.pdf",
• DOI = "doi:10.1142/S1469026809002436",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.699.1181",
• abstract = "Genetic Programming is known to provide good solutions for many problems like the evolution of network protocols and distributed algorithms. In most cases it is a hardwired module of a design framework assisting the engineer in optimising specific aspects in system development. In this article we show how the utility of Genetic Programming can be increased remarkably by isolating it as a component and integrating it into the model-driven software development process. Our Genetic Programming framework produces XMI-encoded UML models that can easily be loaded into widely available modeling tools, which in turn offer code generation as well as additional analysis and test capabilities. We use the evolution of a distributed election algorithm as an example to illustrate how Genetic Programming can be combined with model-driven development.",

}

Genetic Programming entries for Thomas Weise Michael Zapf Mohammad Ullah Khan Kurt Geihs

Citations