Biomimicry of bacterial foraging for distributed optimization and control

  • Passino K
  • 10

    Readers

    Mendeley users who have this article in their library.
  • N/A

    Citations

    Citations of this article.

Abstract

We explain the biology and physics underlying the chemotactic (foraging) behavior of E. coli bacteria. We explain a variety of bacterial swarming and social foraging behaviors and discuss the control system on the E. coli that dictates how foraging should proceed. Next, a computer program that emulates the distributed optimization process represented by the activity of social bacterial foraging is presented. To illustrate its operation, we apply it to a simple multiple-extremum function minimization problem and briefly discuss its relationship to some existing optimization algorithms. The article closes with a brief discussion on the potential uses of biomimicry of social foraging to develop adaptive controllers and cooperative control strategies for autonomous vehicles. For this, we provide some basic ideas and invite the reader to explore the concepts further

Author-supplied keywords

  • Adaptive control
  • Biology computing
  • Biomimetics
  • Control systems
  • Distributed computing
  • Microorganisms
  • Minimization methods
  • Physics
  • Programmable control
  • Remotely operated vehicles
  • adaptive control
  • autonomous vehicle guidance
  • bacteria
  • biocybernetics
  • chemotactic behavior
  • distributed control
  • intelligent control
  • navigation
  • optimal foraging theory
  • optimisation
  • optimization
  • search problems
  • search strategy

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Authors

  • K M Passino

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free