Title: Predator-prey system: an optimiser that solves a linear programming

Authors: Shahram Jamali, Morteza Analoui

Addresses: Department of Electrical and Computer Engineering, University of Mohaghegh Ardabili, University St., Ardabil, Iran. ' Department of Computer Engineering, Iran University of Science and Technology, University St., Narmak, Tehran, Iran

Abstract: Nature-inspired computing is becoming an active area of research that focuses on the study of different self-organising processes in nature. It extracts principles of nature and uses them as an inspirational metaphor to propose novel solutions to different daunting scientific problems. Mimicking some rules of the |game of life| has led to powerful optimum seeking algorithms. This paper attempts to develop a novel bio-inspired optimisation approach. It shows that predator-prey interaction can be inspired to develop an interesting optimum seeking algorithm that acts as a solver for a linear programming problem.

Keywords: predator-prey interaction; linear programming; optimisation; bio-inspired computation.

DOI: 10.1504/IJBIC.2010.036159

International Journal of Bio-Inspired Computation, 2010 Vol.2 No.5, pp.333 - 339

Available online: 25 Oct 2010 *

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