A novel model for bacterial foraging in varying environments
Authored by JR Saunders, QH Wu, WJ Tang
Date Published: 2006
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Abstract
This paper presents the study of modelling bacterial foraging behaviours
in varying environments. The purpose of the study is to investigate a
novel biologically inspired methodology for complex system modelling and
computation, particularly for optimisation of complex dynamic systems, although this paper is mainly concerned with a novel modelling
methodology. Our study focuses on the use of individual-based modelling
(IbM) method to simulate the activities of bacteria and the evolvement
of bacterial colonies. For this study, an architecture and a
mathematical framework are designed to model bacterial foraging
patterns. Under this architecture, the interactions between the
environment and bacteria are investigated. A bacterial chemotaxis
algorithm is derived in the framework and simulation studies are
undertaken to evaluate this algorithm. The simulation results show that
the proposed algorithm can reflect the bacterial behaviours and
population evolution in varying environments, and also explore its
potential for optimisation of dynamic systems.
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