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EVOW
2004
Springer

Self-Adaptive Scouting - Autonomous Experimentation for Systems Biology

9 years 9 months ago
Self-Adaptive Scouting - Autonomous Experimentation for Systems Biology
Abstract. We introduce a new algorithm for autonomous experimentation. This algorithm uses evolution to drive exploration during scientific discovery. Population size and mutation strength are self-adaptive. The only variables remaining to be set are the limits and maximum resolution of the parameters in the experiment. In practice, these are determined by instrumentation. Aside from conducting physical experiments, the algorithm is a valuable tool for investigating simulation models of biological systems. We illustrate the operation of the algorithm on a model of HIVimmune system interaction. Finally, the difference between scouting and optimization is discussed.
Naoki Matsumaru, Florian Centler, Klaus-Peter Zaun
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where EVOW
Authors Naoki Matsumaru, Florian Centler, Klaus-Peter Zauner, Peter Dittrich
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