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== Reference ==
Gero, J.S., Kazakov, V. (2001). A genetic engineering approach to genetic algorithms. Evolutionary Computation, 9(1): 71–92.

== DOI ==
http://dx.doi.org/10.1162/10636560151075121

== Abstract ==
We present an extension to the standard genetic algorithm (GA), which is based on concepts of genetic engineering. The motivation is to discover useful and harmful genetic materials and then execute an evolutionary process in such a way that the population becomes increasingly composed of useful genetic material and increasingly free of the harmful genetic material. Compared to the standard GA, it provides some computational advantages as well as a tool for automatic generation of hierarchical genetic representations specifically tailored to suit certain classes of problems.

== Extended Abstract ==

== Bibtex ==

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== Links ==
=== Full Text ===
http://citeseer.uark.edu:8380/citeseerx/viewdoc/download?doi=10.1.1.93.3979&rep=rep1&type=url&i=0

[[intern file]]

=== Sonstige Links ===
http://citeseer.uark.edu:8380/citeseerx/viewdoc/summary;jsessionid=557CD7A755AD36E4B7827ACAE112985C?doi=10.1.1.93.3979

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 === Full Text ===
 http://citeseer.uark.edu:8380/citeseerx/viewdoc/download?doi=10.1.1.93.3979&rep=rep1&type=url&i=0
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 === Sonstige Links ===
 http://citeseer.uark.edu:8380/citeseerx/viewdoc/summary;jsessionid=557CD7A755AD36E4B7827ACAE112985C?doi=10.1.1.93.3979

A genetic engineering approach to genetic algorithms - Versionsgeschichte

Gbachelier am 8. Dezember 2014 um 11:37 Uhr

Gbachelier: Die Seite wurde neu angelegt: „ == Reference == Gero, J.S., Kazakov, V. (2001). A genetic engineering approach to genetic algorithms. Evolutionary Computation, 9(1): 71–92. == DOI == ht…“