Title :
GAPS: a genetic programming system
Author :
Kramer, M.D. ; Du Zhang
Author_Institution :
Dept. of Comput. Sci., California State Univ., Sacramento, CA, USA
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;
Conference_Titel :
Computer Software and Applications Conference, 2000. COMPSAC 2000. The 24th Annual International
Conference_Location :
Taipei
Print_ISBN :
0-7695-0792-1
DOI :
10.1109/CMPSAC.2000.884788