Title
Predator-prey system: an optimiser that solves a linear programming
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.
Year
DOI
Venue
2010
10.1504/IJBIC.2010.036159
IJBIC
Keywords
Field
DocType
predator-prey interaction,different daunting scientific problem,optimisation approach,linear programming problem,active area,nature-inspired computing,predator-prey system,paper attempt,novel solution,inspirational metaphor,different self-organising process,linear program,linear programming
Mathematical optimization,Game of life,Linear programming,Artificial intelligence,Solver,Machine learning,Mathematics,Metaphor
Journal
Volume
Issue
ISSN
2
5
1758-0366
Citations 
PageRank 
References 
0
0.34
4
Authors
2
Name
Order
Citations
PageRank
Shahram Jamali18010.42
Morteza Analoui212424.94