DocumentCode :
2221247
Title :
GP-Lab: the Genetic Programming Laboratory
Author :
Glaholt, William E. ; Du Zhang
Author_Institution :
Dept. of Comput. Sci., California Univ., Sacramento, CA, USA
fYear :
2004
fDate :
15-17 Nov. 2004
Firstpage :
388
Lastpage :
395
Abstract :
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. We describe a genetic programming tool called GP-Lab. GP-Lab is based upon, and an extension to an earlier tool reported in [Kramer, MD et al. (1996), (2000); Zhang, D et al. (2003)] 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.
Keywords :
C++ language; genetic algorithms; mathematics computing; programming environments; software packages; C+ + source code; GP-lab; Genetic Programming Laboratory; contextually aware genetic operation; graphic output; programming language; software package; source code modification; user-flexible feature; Application software; Computer languages; Computer science; Context awareness; Genetic mutations; Genetic programming; Graphics; Laboratories; Software packages; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 2004. ICTAI 2004. 16th IEEE International Conference on
ISSN :
1082-3409
Print_ISBN :
0-7695-2236-X
Type :
conf
DOI :
10.1109/ICTAI.2004.66
Filename :
1374213
Link To Document :
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