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GP-Lab: The Genetic Programming Laboratory
Boca Raton, Florida November 15-November 17
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICTAI.2004.6616th IEEE International Conference on ...
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William E. Glaholt, California State University at Sacramento
Du Zhang, California State University at Sacramento
Currently, tools in the field of genetic programming are either geared towards solving certain type of problems, or are not easy to use (e.g., requiring actual source code modification of the software packages in order to generate a genetic programming environment). In addition, the solutions generated by existing tools are usually not ready for deployment in applications. In this paper, we describe a genetic programming tool called GP-Lab. GP-Lab is based upon, and an extension to an earlier tool reported in [13-14, 20]. GP-Lab supports a full and extensible programming language, and allows solutions to be automatically generated in C++ source code format ready to be compiled for deployment. It is a general tool and has many user-flexible features, including contextually aware genetic operations and graphic outputs.
Index Terms:
genetic programming, contextually aware genetic operations, user-defined functions, fitness calculation
Citation:
William E. Glaholt, Du Zhang, "GP-Lab: The Genetic Programming Laboratory," ictai, pp.388-395, 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'04), 2004
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