TY - GEN
T1 - A Genetic Algorithm solver for pest management control in Island systems
AU - Brotankova, Jana
AU - Randall, Marcus
AU - Lewis, Andrew
AU - Pressey, Bob
AU - Wenger, Amelia
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84920911314&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-14803-8_21
DO - 10.1007/978-3-319-14803-8_21
M3 - Conference contribution
AN - SCOPUS:84920911314
VL - 8955
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 273
EP - 285
BT - Artificial Life and Computational Intelligence - 1st Australasian Conference, ACALCI 2015, Proceedings
A2 - Chalup, Stephan K.
A2 - Blair, Alan D.
A2 - Randall, Marcus
PB - Springer
T2 - 1st Australasian Conference on Artificial Life and Computational Intelligence, ACALCI 2015
Y2 - 5 February 2015 through 7 February 2015
ER -