Evolutionary meta programming
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gp-bibliography.bib Revision:1.8051
- @InProceedings{Cullen:2009:GECa,
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author = "Jamie Cullen",
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title = "Evolutionary meta programming",
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booktitle = "GEC '09: Proceedings of the first ACM/SIGEVO Summit on
Genetic and Evolutionary Computation",
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year = "2009",
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editor = "Lihong Xu and Erik D. Goodman and Guoliang Chen and
Darrell Whitley and Yongsheng Ding",
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bibsource = "DBLP, http://dblp.uni-trier.de",
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pages = "81--88",
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address = "Shanghai, China",
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organisation = "SigEvo",
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DOI = "doi:10.1145/1543834.1543847",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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month = jun # " 12-14",
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isbn13 = "978-1-60558-326-6",
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keywords = "genetic algorithms, genetic programming",
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abstract = "The Evolutionary Meta Programming (EMP) approach
towards the evolution of computer programs is
presented. An EMP system is divided into two
interacting parts: The Host Environment, and the Target
Environment. Programs are evolved in an arbitrary
target language by the Host Environment and are
injected into the Target Environment, where they are
evaluated for fitness in their `natural surroundings'.
Early results from three significantly different
domains are discussed: (1) Compiling C programs using a
well-known compiler (GNU C compiler) (2) Circuit
synthesis of digital hardware in an industry standard
Hardware Description Language (Verilog), and (3)
Functional Programming in an external Common LISP
interpreter. The presented approach has now been used
to evolve solutions to some well-known problems in the
field of Evolutionary Computation, as well as enabling
the initial examination of some novel problem domains
that are typically not amenable to exploration by
common techniques. Possible strengths of this approach,
when compared to techniques such as Genetic
Programming, include more rapid and natural problem
specification and testbench development for some types
of problems, reduced software development time, and the
potential to more readily examine problems that require
complex methods of fitness evaluation.",
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notes = "Also known as \cite{DBLP:conf/gecco/Cullen09a} part of
\cite{DBLP:conf/gec/2009}",
- }
Genetic Programming entries for
Jamie Cullen
Citations