Journal
JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
Volume 115, Issue 3, Pages 603-628Publisher
SPRINGER/PLENUM PUBLISHERS
DOI: 10.1023/A:1021207331209
Keywords
distributed optimization; biomimicry; bacteria; models
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In this paper, we explain the social foraging behavior of E. coli and M. xanthus bacteria and develop simulation models based on the principles of foraging theory that view foraging as optimization. This provides us with novel models of their foraging behavior and with new methods for distributed nongradient optimization. Moreover, we show that the models of both species of bacteria exhibit the property identified by Grunbaum that postulates that their foraging is social in order to be able to climb noisy gradients in nutrients. This provides a connection between evolutionary forces in social foraging and distributed nongradient optimization algorithm design for global optimization over noisy surfaces.
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