- title = "{SGPC}: Simple Genetic Programming in {C}",
- author = "Walter Alden Tackett and Aviram Carmi",
- year = "1993",
- keywords = "genetic algorithms, genetic programming",
-
URL = "
https://www.cs.cmu.edu/afs/cs/project/ai-repository/ai/areas/genetic/gp/systems/sgpc/0.html",
-
URL = "https://www.cs.cmu.edu/afs/cs/project/ai-repository/ai/areas/genetic/gp/systems/sgpc/readme.txt",
- size = "337 lines",
-
abstract = "Version 1.0 (c) 1993 by Walter Alden Tackett and
Aviram Carmi
This code and documentation is copyrighted and is not in the public domain. All rights reserved.
Genetic Programming is a method of 'Adaptive Automatic Program Induction' originally created by John Koza and James Rice of Stanford University. SGPC is a C implementation of Genetic Programming: it is a C program which writes LISP programs. These programs are tailored by the system to solve a problem specified by the user. Koza and Rice have provided to the public a version of Genetic Programming which is written in LISP. SGPC offers greater portability and about 25-50 times improvement in execution speed due to a highly optimized C implementation.",
- notes = "1.1 (19-AUG-93) http://www-cgi.cs.cmu.edu/afs/cs/project/ai-repository/ai/areas/genetic/gp/systems/sgpc/sgpc110.tgz",
