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Genetic programming: Biologically inspired computation that exhibits creativity in solving non-trivial problems

, , , und . Proceedings of the AISB'99 Symposium on Scientific Creativity, Seite 29--38. Edingburgh, (8-9 April 1999)

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Four Problems for which a Computer Program Evolved by Genetic Programming is Competitive with Human Performance., , , und . International Conference on Evolutionary Computation, Seite 1-10. IEEE, (1996)Using Programmatic Motifs and Genetic Programming to Classify Protein Sequences as to Cellular Location., , und . Evolutionary Programming, Volume 1447 von Lecture Notes in Computer Science, Seite 437-447. Springer, (1998)Reverse Engineering of Metabolic Pathways from Observed Data Using Genetic Programming., , , , und . Pacific Symposium on Biocomputing, Seite 434-445. (2001)Working notes AAAI-95 Fall Symposium Series Genetic Programming, und . Technical Report, FS-95-01. The American Association for Artificial Intelligence, (10--12 November 1995)Genetic Programming II: Automatic Discovery of Reusable Programs. MIT Press, Cambridge Massachusetts, (Mai 1994)Parallel Genetic Programming on a Network of Transputers, und . Technical Report, CS-TR-95-1542. Stanford University, Department of Computer Science, (Januar 1995)The genetic programming paradigm: Genetically breeding populations of computer programs to solve problems. Dynamic, Genetic, and Chaotic Programming, John Wiley, New York, (1992)Use of Architecture-Altering Operations to Dynamically Adapt a Three-Way Analog Source Identification Circuit to Accommodate a New Source, , , , , und . Genetic Programming 1997: Proceedings of the Second Annual Conference, Seite 213--221. Stanford University, CA, USA, Morgan Kaufmann, (13-16 July 1997)Discovery of a main program and reusable subroutines using genetic programming. Proceedings of the Fifth Workshop on Neural Networks: An International Conference on Computational Intelligence: Neural Networks, Fuzzy Systems, Evolutionary Programming, and Virtual Reality, Seite 109--118. (1993)Design of a high-gain operational amplifier and other circuits by means of genetic programming, , , und . Evolutionary Programming VI. 6th International Conference, EP97, Volume 1213 von Lecture Notes in Computer Science, Seite 125--136. Indianapolis, Indiana, USA, Springer-Verlag, (1997)