NDLI: Four problems for which a computer program evolved by genetic programming is competitive with human performance

Content Provider	IEEE Xplore Digital Library
Author	Koza, J.R. Bennett III, F.H. Andre, D. Keane, M.A.
Copyright Year	1996
Description	Author affiliation: Dept. of Comput. Sci., Stanford Univ., CA, USA (Koza, J.R.; Bennett, F.H., III; Andre, D.)
Abstract	It would be desirable if computers could solve problems without the need for humans 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). Genetic programming is such a technique. This paper surveys three 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.
Starting Page	1
Ending Page	10
File Size	1144729
Page Count	10
File Format	PDF
ISBN	0780329023
DOI	10.1109/ICEC.1996.542327
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-05-20
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic programming Humans Computer science Automatic programming Band pass filters Genetic algorithms Genetic mutations Cells (biology) Biology computing Electronic circuits
Content Type	Text
Resource Type	Article

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Four problems for which a computer program evolved by genetic programming is competitive with human performance (1996).

Four problems for which a computer program evolved by genetic programming is competitive with human performance (1996)

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