Framework for minimising the impact of regional shocks on global food security using multi-objective ant colony optimisation
Date
2017
Authors
Golding, P.
Kapadia, S.
Naylor, S.
Schulz, J.
Maier, H.
Lall, U.
van der Velde, M.
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Journal article
Citation
Environmental Modelling and Software, 2017; 95:303-319
Statement of Responsibility
Peter Golding, Sam Kapadia, Stella Naylor, Jonathan Schulz, Holger R. Maier, Upmanu Lall, Marijn van der Velde
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Abstract
A general framework for the identification of optimal strategies for mitigating the impact of regional shocks to the global food production network is introduced. The framework utilises multi-objective ant colony optimisation (ACO) as the optimisation engine and is applicable to production-, demand-, storage- and distribution-focussed mitigation options. A detailed formulation for using trade as the mitigation option is presented and applied to a shock to wheat production in North America for illustrative purposes. Different strategies for improving the performance of the ACO algorithm are also presented and tested. Results indicate that the proposed framework has the potential to identify a range of practical trade mitigation strategies for consideration by decision makers, including trade-offs between the extent to which regional shocks can be mitigated and the degree to which existing trade arrangements have to be modified, as well as the relative importance of various trade agreements and different exporting countries.
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© 2017 Elsevier Ltd. All rights reserved.