Evolutionary Computation as a Paradigm for DNA-Based Computing-Reference-Cited by-同舟云学术

Evolutionary Computation as a Paradigm for DNA-Based Computing

Published:2002 Issue: Volume: Page:15-40
ISSN:1619-7127
Container-title:Natural Computing Series
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Author:

Bäck Thomas,Kok Joost N.,Rozenberg Grzegorz

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-55606-7_2.pdf

Reference71 articles.

1. Proceedings of the Fourth IEEE Conference on Evolutionary Computation, Indianapolis, IN. IEEE Press, Piscataway, NJ, 1997.

2. L. M. Adleman. Molecular computation of solutions to combinatorial problems. Science, 266:1021–1024, November 1994.

3. M. Amos. DNA Computing. PhD thesis. The University of Warwick, Warwick, UK, September 1997.

4. T. Bäck. The interaction of mutation rate, selection, and self-adapt at ion within a genetic algorithm. In R. Männer and B. Manderick, editors. Parallel Problem Solving from Nature 2, pages 85–94. Elsevier, Amsterdam, 1992.

5. T. Bäck. Optimal mutation rates in genetic search. In S. Forrest, editor. Proceedings of the Fifth International Conference on Genetic Algorithms, pages 2–8. Morgan Kaufmann, San Mateo, CA, 1993.

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