Gene level concurrency in genetic algorithms

Date

2003-01-01

Author

Şehitoğlu, Onur Tolga
Üçoluk, Göktürk

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This study describes an alternative concurrency approach in genetic algorithms. Inspiring from implicit parallelism in a physical chromosome, a vertical concurrency is introduced. Proposed gene process model allows genetic algorithms work in encodings independent from the gene position ordering in a chromosome. This feature is used to implement a gene reordering version of genetic algorithm. Further possible models of flexible gene position encodings are discussed.

URI

https://hdl.handle.net/11511/55878

Journal

COMPUTER AND INFORMATION SCIENCES - ISCIS 2003

Collections

Department of Computer Engineering, Article

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Gene Level Concurrency in Genetic Algorithms Şehitoğlu, Onur Tolga; Üçoluk, Göktürk (Springer-Verlag, 2007-01-01) This study describes an alternative concurrency approach in genetic algorithms. Inspiring from implicit parallelism in a physical chromosome, a vertical concurrency is introduced. Proposed gene process model allows genetic algorithms work in encodings independent from the gene position ordering in a chromosome. This feature is used to implement a gene reordering version of genetic algorithm. Further possible models of flexible gene position encodings are discussed.
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Citation Formats

O. T. Şehitoğlu and G. Üçoluk, “Gene level concurrency in genetic algorithms,” COMPUTER AND INFORMATION SCIENCES - ISCIS 2003, pp. 976–983, 2003, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55878.