Intelligent habitat restoration under uncertainty

Urli, Tommaso, Brotánková, Jana, Kilby, Philip, and Van Hentenryck, Pascal (2016) Intelligent habitat restoration under uncertainty. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence, pp. 3908-3914. From: AAAI-16: 30th AAAI Conference on Artificial Intelligence, 12-17 February 2016, Phoenix, AZ, USA.

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Abstract

Conservation is an ethic of sustainable use of natural resources which focuses on the preservation of biodiversity, i.e., the degree of variation of life. Conservation planning seeks to reach this goal by means of deliberate actions, aimed at the protection (or restoration) of biodiversity features. In this paper we present an intelligent system to assist conservation managers in planning habitat restoration actions, with focus on the activities to be carried out in the islands of the Great Barrier Reef (QLD) and the Pilbara (WA) regions of Australia. In particular, we propose a constrained optimisation formulation of the habitat restoration planning (HRP) problem, capturing aspects such as population dynamics and uncertainty. We show that the HRP is NP-hard, and develop a constraint programming (CP) model and a large neighbourhood search (LNS) procedure to generate activity plans under budgeting constraints.

Item ID: 49357
Item Type: Conference Item (Refereed Research Paper - E1)
ISSN: 2374-3468
Date Deposited: 13 Jun 2017 00:21
FoR Codes: 05 ENVIRONMENTAL SCIENCES > 0502 Environmental Science and Management > 050202 Conservation and Biodiversity @ 50%
08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080199 Artificial Intelligence and Image Processing not elsewhere classified @ 50%
SEO Codes: 96 ENVIRONMENT > 9605 Ecosystem Assessment and Management > 960599 Ecosystem Assessment and Management not elsewhere classified @ 50%
89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 50%
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