- author = "Thomas Weise and Michael Zapf and Mohammad Ullah Khan and Kurt Geihs",
- title = "Genetic Programming meets Model-Driven Development",
- booktitle = "7th International Conference on Hybrid Intelligent Systems, HIS 2007",
- year = "2007",
- language = "en",
- editor = "Andreas K{\"o}nig and Mario K{\"o}ppen and Ajith Abraham and Christian Igel and Nikola Kasabov",
- pages = "332--335",
- address = "Kaiserslautern, Germany",
- month = "17-19 " # sep,
- publisher = "IEEE",
- keywords = "genetic algorithms, genetic programming, SBSE, GP, Model Driven Development, MDD, Model Driven Architecture, MDA, XMI, MOF-Skript, UML, Distributed Algorithms, SBSE",
- isbn13 = "978-0-7695-2946-2",
-
URL = "
http://www.it-weise.de/documents/files/WZKG2007DGPFg.pdf",
-
DOI = "
doi:10.1109/ICHIS.2007.4344073",
-
DOI = "doi:10.1109/HIS.2007.11",
- abstract = "Genetic programming is known to provide good solutions for many problems like the evolution of network protocols and distributed algorithms. In such cases it is most likely a hardwired module of a design framework that assists the engineer to optimise specific aspects of the system to be developed. It provides its results in a fixed format through an internal interface. In this paper we show how the usefulness 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 modelling tools which in turn posses 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. This example clearly illustrates the advantages of our approach - the generation of source code in different programming languages.",
- contents = "* Introduction\\* Genetic Programming and MDD\\- Model-Driven Development\\- Combining MDD and GP\\* Evolving Distributed Algorithms\\- Evolving an Election Algorithm\\* Creating a PIM\\- Control Flow Model\\- Data Model\\- Modeling the Primitive Operations\\* Transforming the UML Models\\* Conclusion",
-
notes = "also known as \cite{WZKG2007DGPFg}
\cite{4344073}
Library of Congress Number 2007936727, Product Number E2946. see http://his07.hybridsystem.com/
Longer version of \cite{WZKG2007DGPFd}. AST, PIM PSM, multi-objective GP MOGP, MOFScript modelware, eclipse modeling framework, C, Java.",
