Brotankova, Jana, Randall, Marcus, Lewis, Andrew, Pressey, Bob, and Wenger, Amelia (2015) A genetic algorithm solver for pest management control in island systems. In: Proceedings of the First Australasian Artificial Life and Computational Intelligence Conference (8955) pp. 273-285. From: ACALCI 2015: First Australasian Artificial Life and Computational Intelligence Conference, 5-7 February 2015, Newcastle, NSW, Australia.

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Abstract

Island conservation management is a truly multidisciplinary problem that requires considerable knowledge of the characteristics of the ecosystem, species and their interactions. Nevertheless, this can be translated into an optimisation problem. Essentially, within a limited budget, a manager needs to select the conservation actions according to expected payoffs (in terms of protecting or restoring desired species) versus cost (the amount of resources/money) required for the actions. This paper presents the problem in terms of a knapsack formulation and develops optimisation techniques to solve it. From this, decision-support software is being developed, tailored to meet the needs of pest control on islands for conservation managers. The solver uses a Genetic Algorithm and incorporates a simplified model of the problem. The solver derives strategies that reduce the number of threats, allowing the preservation of desired species. However, the problem model needs further refinement to derive truly realistic options for conservation managers.

Item ID:	41946
Item Type:	Conference Item (Research - E1)
ISBN:	978-3-319-14803-8
Keywords:	conservation management, genetic algorithms, knapsack problem
Related URLs:	Publisher
Funders:	Gorgon Barrow Island Net Conservation Benefits Scheme, National Environmental Research Program (NERP)
Date Deposited:	08 Dec 2015 17:32
FoR Codes:	08 INFORMATION AND COMPUTING SCIENCES > 0802 Computation Theory and Mathematics > 080201 Analysis of Algorithms and Complexity @ 100%
SEO Codes:	96 ENVIRONMENT > 9604 Control of Pests, Diseases and Exotic Species > 960402 Control of Animal Pests, Diseases and Exotic Species in Coastal and Estuarine Environments @ 100%
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