%0 Conference Paper %1 koza:1996:4problems %A Koza, John R. %A Bennett III, Forrest H %A Andre, David %A Keane, Martin A. %B Proceedings of the 1996 IEEE International Conference on Evolutionary Computation %D 1996 %I IEEE Press %K algorithms, genetic programming %P 1--10 %T Four problems for which a computer program evolved by genetic programming is competitive with human performance %U http://www.genetic-programming.com/jkpdf/icec1996.pdf %V 1 %X It would be desirable if computers could solve problems without the need for a human to write the detailed programmatic steps. That is, it would be desirable to have a domain-independent automatic programming technique in which "What You Want Is What You Get" ("WYWIWYG" pronounced "wow-eee-wig"). Genetic programming is such a technique. This paper surveys three recent examples of problems (from the fields of cellular automata and molecular biology) in which genetic programming evolved a computer program that produced results that were slightly better than human performance for the same problem. This paper then discusses the problem of electronic circuit synthesis in greater detail. It shows how genetic programming can evolve both the topology of a desired electrical circuit and the sizing (numerical values) for each component in a crossover (woofer and tweeter) filter. Genetic programming has also evolved the design for a lowpass filter, the design of an amplifier, and the design for an asymmetric bandpass filter that was described as being difficult-to-design in an article in a leading electrical engineering journal.

@inproceedings{koza:1996:4problems, abstract = {It would be desirable if computers could solve problems without the need for a human to write the detailed programmatic steps. That is, it would be desirable to have a domain-independent automatic programming technique in which {"}What You Want Is What You Get{"} ({"}WYWIWYG{"} pronounced {"}wow-eee-wig{"}). Genetic programming is such a technique. This paper surveys three recent examples of problems (from the fields of cellular automata and molecular biology) in which genetic programming evolved a computer program that produced results that were slightly better than human performance for the same problem. This paper then discusses the problem of electronic circuit synthesis in greater detail. It shows how genetic programming can evolve both the topology of a desired electrical circuit and the sizing (numerical values) for each component in a crossover (woofer and tweeter) filter. Genetic programming has also evolved the design for a lowpass filter, the design of an amplifier, and the design for an asymmetric bandpass filter that was described as being difficult-to-design in an article in a leading electrical engineering journal.}, added-at = {2008-06-19T17:35:00.000+0200}, author = {Koza, John R. and {Bennett III}, Forrest H and Andre, David and Keane, Martin A.}, biburl = {https://www.bibsonomy.org/bibtex/29c151f41a04f99cda70c64a32af0dc1f/brazovayeye}, booktitle = {Proceedings of the 1996 IEEE International Conference on Evolutionary Computation}, interhash = {8f10c5f959a60a8b0f0fd4df9f1e408d}, intrahash = {9c151f41a04f99cda70c64a32af0dc1f}, keywords = {algorithms, genetic programming}, notes = {ICEC-96 Population 640,000 on filter problem, 1% mutation. 64 demes, torrodally connected at end of each generation. 4 emigrant boats of 2% per generation.}, pages = {1--10}, publisher = {IEEE Press}, size = {10 pages}, timestamp = {2008-06-19T17:44:02.000+0200}, title = {Four problems for which a computer program evolved by genetic programming is competitive with human performance}, url = {http://www.genetic-programming.com/jkpdf/icec1996.pdf}, volume = 1, year = 1996 }