New Algorithm Transgenic with Homology to solve the problem of OneMax
Already proposed a new vision, a heuristic based on a modern branch of biology called Biotechnology. "This is any technological application that uses biological systems, living organisms, or derivatives thereof, to make or modify products or processes for specific use" [SCDB, 1992]. For individuals who have undergone any change in their genes through biotechnology techniques are known as Transgenic, they can be animals or plants. The changes applied to these individuals are made for a specific purpose; usually to improve an individual has highlighted some of its own characteristics [CNICE, 2001]. Now incorporates new elements to the first algorithm for transgenic improvement. Homology has been incorporated in the search for the fittest individuals. The Homology has been incorporated in the search for the fittest individuals. With the use of positive and negative homology.
| Main Authors: | , , , , , |
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| Format: | Digital revista |
| Language: | English |
| Published: |
Instituto Politécnico Nacional, Centro de Investigación en Computación
2010
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| Online Access: | http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1405-55462010000200006 |
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| Summary: | Already proposed a new vision, a heuristic based on a modern branch of biology called Biotechnology. "This is any technological application that uses biological systems, living organisms, or derivatives thereof, to make or modify products or processes for specific use" [SCDB, 1992]. For individuals who have undergone any change in their genes through biotechnology techniques are known as Transgenic, they can be animals or plants. The changes applied to these individuals are made for a specific purpose; usually to improve an individual has highlighted some of its own characteristics [CNICE, 2001]. Now incorporates new elements to the first algorithm for transgenic improvement. Homology has been incorporated in the search for the fittest individuals. The Homology has been incorporated in the search for the fittest individuals. With the use of positive and negative homology. |
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