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'Extremotaxis': computing with a bacterial-inspired algorithm.

Abstract:

We present a general-purpose optimization algorithm inspired by "run-and-tumble", the biased random walk chemotactic swimming strategy used by the bacterium Escherichia coli to locate regions of high nutrient concentration The method uses particles (corresponding to bacteria) that swim through the variable space (corresponding to the attractant concentration profile). By constantly performing temporal comparisons, the particles drift towards the minimum or maximum of the function of interest....

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Publication status:
Published

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Institution:
University of Oxford
Department:
Oxford, MPLS, Mathematical Inst
Role:
Author
Journal:
Bio Systems
Volume:
94
Issue:
1-2
Pages:
47-54
Publication date:
2008-01-01
DOI:
EISSN:
1872-8324
ISSN:
0303-2647
URN:
uuid:47ea4e56-7ef1-4818-bc87-dc412947ace7
Source identifiers:
29004
Local pid:
pubs:29004

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