%0 Book Section
%B Creative Evolutionary Systems
%D 2001
%T Genetic Programming: Biologically Inspired Computation that Exhibits Creativity in Producing Human-Competitive Results
%A Koza, John
%A III, Forrest Bennett
%A Andre, David
%A Keane, Martin
%E Peter J. Bentley and David W. Corne
%I Morgan Kaufmann
%K genetic algorithms, genetic programming
%P 275--298
%U http://www.genetic-programming.com/jkpdf/eac2001chapter.pdf
%X This paper describes a biologically inspired                   domain-independent technique, called genetic                   programming, that automatically creates computer                   programs to solve problems. Starting with a primordial                   ooze of thousands of randomly created computer                   programs, genetic programming progressively breeds a                   population of computer programs over a series of                   generations using the Darwinian principle of natural                   selection, recombination (crossover), mutation, gene                   duplication, gene deletion, and certain mechanisms of                   developmental biology. The technique is illustrated by                   applying it to a non-trivial problem involving the                   automatic synthesis (design) of a lowpass filter                   circuit. The evolved results are competitive with                   human-produced solutions to the problem. In fact, four                   of the automatically created circuits exhibit                   human-level creativity and inventiveness, as evidenced                   by the fact that they correspond to four inventions                   that were patented between 1917 and 1936.
%8 jul
%9 incollection
%@ 1-55860-673-4