<?xml version="1.0" encoding="UTF-8"?>
<XML><RECORDS>
<RECORD>
	<REFERENCE_TYPE>3</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>Bennett-III, Forrest H</AUTHOR>
		<AUTHOR>Koza, John R.</AUTHOR>
		<AUTHOR>Andre, David</AUTHOR>
		<AUTHOR>Keane, Martin A.</AUTHOR>
	</AUTHORS>
	<YEAR>1996</YEAR>
	<TITLE>Evolution of a 60 Decibel op amp using genetic programming</TITLE>
	<SECONDARY_AUTHORS>
		<SECONDARY_AUTHOR>Tetsuya Higuchi and Iwata Masaya and Weixin Liu</SECONDARY_AUTHOR>
	</SECONDARY_AUTHORS>
	<SECONDARY_TITLE>Lecture Notes in Computer Science</SECONDARY_TITLE>
	<PLACE_PUBLISHED>Tsukuba, Japan</PLACE_PUBLISHED>
	<PUBLISHER>Springer-Verlag</PUBLISHER>
	<VOLUME>1259</VOLUME>
	<DATE>"7-8 " # oct</DATE>
	<ISBN>3-540-63173-9</ISBN>
	<KEYWORDS>
		<KEYWORD>genetic</KEYWORD>
		<KEYWORD>algorithms,</KEYWORD>
		<KEYWORD>genetic</KEYWORD>
		<KEYWORD>programming</KEYWORD>
	</KEYWORDS>
	<ABSTRACT>Genetic programming was used to evolve both the
                 topology and sizing (numerical values) for each
                 component of a low-distortion, low-bias 60 decibel
                 (1000-to-1) amplifier with good frequency
                 generalization.</ABSTRACT>
	<URL>http://www.genetic-programming.com/jkpdf/ices1996fhbamplifier60.pdf</URL>
</RECORD>
<RECORD>
	<REFERENCE_TYPE>3</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>Bennett-III, Forrest H</AUTHOR>
		<AUTHOR>Koza, John R.</AUTHOR>
		<AUTHOR>Keane, Martin A.</AUTHOR>
		<AUTHOR>Andre, David</AUTHOR>
	</AUTHORS>
	<YEAR>1999</YEAR>
	<TITLE>Genetic programming: Biologically inspired computation that exhibits creativity in solving non-trivial problems</TITLE>
	<SECONDARY_TITLE>Proceedings of the AISB-99 Symposium on Scientific Creativity</SECONDARY_TITLE>
	<PLACE_PUBLISHED>Edingburgh</PLACE_PUBLISHED>
	<PAGES>29--38</PAGES>
	<DATE>"8-9 " # apr</DATE>
	<KEYWORDS>
		<KEYWORD>genetic</KEYWORD>
		<KEYWORD>algorithms,</KEYWORD>
		<KEYWORD>genetic</KEYWORD>
		<KEYWORD>programming</KEYWORD>
	</KEYWORDS>
	<ABSTRACT>This paper describes a biologically inspired
                 domain-independent technique, called genetic
                 programming, that automatically creates computer
                 programs to solve problems. We argue that the field of
                 design is a useful testbed for determining whether an
                 automated technique can produce results that are
                 competitive with human-produced results. We present
                 several results that are competitive with the products
                 of human creativity and inventiveness. This claim is
                 supported by the fact that each of the results infringe
                 on previously issued patents. This paper presents a
                 candidate set of criteria that identify when a
                 machine-created solution to a problem is competitive
                 with a human-produced result.</ABSTRACT>
	<URL>http://www.genetic-programming.com/jkpdf/aisb1999.pdf</URL>
</RECORD>
<RECORD>
	<REFERENCE_TYPE>3</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>Koza, John R.</AUTHOR>
		<AUTHOR>Bennett-III, Forrest H</AUTHOR>
		<AUTHOR>Andre, David</AUTHOR>
		<AUTHOR>Keane, Martin A.</AUTHOR>
	</AUTHORS>
	<YEAR>2001</YEAR>
	<TITLE>Genetic Programming: Biologically Inspired Computation that Creatively Solves Non-Trivial Problems</TITLE>
	<SECONDARY_AUTHORS>
		<SECONDARY_AUTHOR>Laura F. Landweber and Erik Winfree</SECONDARY_AUTHOR>
	</SECONDARY_AUTHORS>
	<SECONDARY_TITLE>Natural Computing Series</SECONDARY_TITLE>
	<PLACE_PUBLISHED>Princeton University</PLACE_PUBLISHED>
	<PUBLISHER>Springer-Verlag</PUBLISHER>
	<PAGES>95--124</PAGES>
	<DATE>"11-12 " # jan</DATE>
	<ISBN>3-540-66709-1</ISBN>
	<KEYWORDS>
		<KEYWORD>genetic</KEYWORD>
		<KEYWORD>algorithms,</KEYWORD>
		<KEYWORD>genetic</KEYWORD>
		<KEYWORD>programming</KEYWORD>
	</KEYWORDS>
	<URL>http://www.genetic-programming.com/jkpdf/eac2001chapter.pdf</URL>
</RECORD>
</RECORDS></XML>