Genetic Algorithm-based ecosystem for heather management

Jin, Nanlin (2008) Genetic Algorithm-based ecosystem for heather management. In: 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence). IEEE, Piscataway, NJ, pp. 3282-3288. ISBN 978-1-4244-1822-0

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Official URL: http://dx.doi.org/10.1109/CEC.2008.4631242

Abstract

This paper applies genetic algorithms (GA) to simulate a heather moorland ecosystem. We investigate, in this ecosystem how to manage heather for the benefits of survival and reproduction of grouse. A GA candidate solution is a grid, representing spatial relationship of three types of heather. From solutions provided by GA, we have found that the diversity of neighborhood and its distribution are essential. The evenly diversified heather distributions emerge as the best fit solutions for grousepsilas needs. We compared this finding with data collected from the field work.

Item Type: Book Section
Subjects: F800 Physical and Terrestrial Geographical and Environmental Sciences
G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Becky Skoyles
Date Deposited: 11 Aug 2014 10:53
Last Modified: 10 Nov 2016 12:39
URI: http://nrl.northumbria.ac.uk/id/eprint/17374

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