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

Authors:
Shahram Jamali;Morteza Analoui
Affiliations:
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
Venue:
International Journal of Bio-Inspired Computation
Year:
2010

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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.