Optimising profitability and environmental trade-offs in managing cropping systems using differential evolution

deVoil, Peter, Rossing, W. A. H. and Hammer, Graeme (2004). Optimising profitability and environmental trade-offs in managing cropping systems using differential evolution. In: T. Fischer, N. Turner, J. Angus, L. McIntyre, M. Robertson, A. Borrell and D. Lloyd, New Directions for a Diverse Planet: Proceedings of the 4th International Crop Science Congress. 4th International Crop Science Congress, Brisbane, Australia, (1-6). 26 September-1 October 2004.


Author deVoil, Peter
Rossing, W. A. H.
Hammer, Graeme
Title of paper Optimising profitability and environmental trade-offs in managing cropping systems using differential evolution
Conference name 4th International Crop Science Congress
Conference location Brisbane, Australia
Conference dates 26 September-1 October 2004
Proceedings title New Directions for a Diverse Planet: Proceedings of the 4th International Crop Science Congress
Place of Publication Gosford, N.S.W., Australia
Publisher The Regional Institute
Publication Year 2004
Sub-type Fully published paper
ISBN 1 920842 20 9
1-920842-21-7
Editor T. Fischer
N. Turner
J. Angus
L. McIntyre
M. Robertson
A. Borrell
D. Lloyd
Volume CD
Start page 1
End page 6
Total pages 6
Collection year 2004
Language eng
Abstract/Summary Whilst traditional optimisation techniques based on mathematical programming techniques are in common use, they suffer from their inability to explore the complexity of decision problems addressed using agricultural system models. In these models, the full decision space is usually very large while the solution space is characterized by many local optima. Methods to search such large decision spaces rely on effective sampling of the problem domain. Nevertheless, problem reduction based on insight into agronomic relations and farming practice is necessary to safeguard computational feasibility. Here, we present a global search approach based on an Evolutionary Algorithm (EA). We introduce a multi-objective evaluation technique within this EA framework, linking the optimisation procedure to the APSIM cropping systems model. The approach addresses the issue of system management when faced with a trade-off between economic and ecological consequences.
Subjects E1
340299 Applied Economics not elsewhere classified
720399 International trade issues not elsewhere classified
Q-Index Code E1

 
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Created: Thu, 23 Aug 2007, 20:04:05 EST