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Genetic algorithms are suitable for driving microbial ecosystems in desirable directions
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Authors:
Frederik P.J. Vandecasteele
University of Idaho, Moscow, ID
Thomas F. Hess
University of Idaho, Moscow, ID
Ronald L. Crawford
University of Idaho, Moscow, ID
Published in:
· Proceeding
GECCO '06
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Pages 309-310
ACM
New York, NY
, USA
©2006
table of contents
ISBN:1-59593-186-4
doi>
10.1145/1143997.1144054
2006 Article
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· Citation Count: 0
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GECCO '13
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Tags:
algorithms
biological application
biology and genetics
design
ecology
ecosystem design
ecosystem function
experimentation
genetic algorithm
heuristic methods
measurement
microbial ecology
optimization
performance
verification
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