DocumentCode
2641350
Title
GAPS: a genetic programming system
Author
Kramer, M.D. ; Du Zhang
Author_Institution
Dept. of Comput. Sci., California State Univ., Sacramento, CA, USA
fYear
2000
fDate
2000
Firstpage
614
Lastpage
619
Abstract
Genetic programming tackles the issue of how to automatically create a working computer program for a given problem from some initial problem statement. The goal is accomplished in genetic programming by genetically breeding a population of computer programs in terms of the principles of Darwinian natural selection of the fittest and genetic operations. We describe a genetic programming system called GAPS. GAPS has the following features: it implements the prototypical generational algorithm for genetic programming with three improvements (the honor roll, improved termination criteria and the tree techniques for fitness evaluation); it includes an extensible language tailored to the needs of genetic programming; and it is a complete, standalone system that allows for genetic programming tasks to be carried our without requiring other tools such as compilers. Preliminary results with GAPS have been satisfactory
Keywords
automatic programming; genetic algorithms; Darwinian natural selection; GAPS; automatic programming; extensible language; genetic breeding; genetic programming system; standalone system; Computer science; Evolutionary computation; Genetic algorithms; Genetic mutations; Genetic programming; Program processors; Prototypes;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Software and Applications Conference, 2000. COMPSAC 2000. The 24th Annual International
Conference_Location
Taipei
ISSN
0730-3157
Print_ISBN
0-7695-0792-1
Type
conf
DOI
10.1109/CMPSAC.2000.884788
Filename
884788
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